Interpretation Framework of Predictive Quality Models for Process- and Product-oriented Decision Support Article Swipe
Daniel Buschmann
,
Tobias Schulze
,
Chrismarie Enslin
,
Robert Schmitt
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1016/j.procir.2023.06.183
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1016/j.procir.2023.06.183
In the context of predictive quality in production, there is a need to explain and understand the predictive models used, as well as the dependencies present in the underlying data. For this purpose, we develop a framework for model-independent interpretation of predictive models to enable data-driven, process- and product-oriented decisions. This framework combines different model-agnostic interpretation methods and structures them into two modules, one for a process-oriented view and the other for a product-oriented view. In addition, an implementation concept for the two modules in a machine learning pipeline is also provided.
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.procir.2023.06.183
- OA Status
- diamond
- Cited By
- 9
- References
- 37
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4384789604
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4384789604Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1016/j.procir.2023.06.183Digital Object Identifier
- Title
-
Interpretation Framework of Predictive Quality Models for Process- and Product-oriented Decision SupportWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-01-01Full publication date if available
- Authors
-
Daniel Buschmann, Tobias Schulze, Chrismarie Enslin, Robert SchmittList of authors in order
- Landing page
-
https://doi.org/10.1016/j.procir.2023.06.183Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1016/j.procir.2023.06.183Direct OA link when available
- Concepts
-
Computer science, Process (computing), Interpretation (philosophy), Quality (philosophy), Context (archaeology), Product (mathematics), Pipeline (software), Machine learning, Artificial intelligence, Mathematics, Programming language, Philosophy, Biology, Epistemology, Geometry, PaleontologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
9Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 3, 2024: 5, 2023: 1Per-year citation counts (last 5 years)
- References (count)
-
37Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4384789604 |
|---|---|
| doi | https://doi.org/10.1016/j.procir.2023.06.183 |
| ids.doi | https://doi.org/10.1016/j.procir.2023.06.183 |
| ids.openalex | https://openalex.org/W4384789604 |
| fwci | 2.29898599 |
| type | article |
| title | Interpretation Framework of Predictive Quality Models for Process- and Product-oriented Decision Support |
| awards[0].id | https://openalex.org/G7300938430 |
| awards[0].funder_id | https://openalex.org/F4320320879 |
| awards[0].display_name | |
| awards[0].funder_award_id | 390621612 |
| awards[0].funder_display_name | Deutsche Forschungsgemeinschaft |
| biblio.issue | |
| biblio.volume | 118 |
| biblio.last_page | 1071 |
| biblio.first_page | 1066 |
| topics[0].id | https://openalex.org/T12026 |
| topics[0].field.id | https://openalex.org/fields/17 |
| topics[0].field.display_name | Computer Science |
| topics[0].score | 0.9873999953269958 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/1702 |
| topics[0].subfield.display_name | Artificial Intelligence |
| topics[0].display_name | Explainable Artificial Intelligence (XAI) |
| topics[1].id | https://openalex.org/T14351 |
| topics[1].field.id | https://openalex.org/fields/17 |
| topics[1].field.display_name | Computer Science |
| topics[1].score | 0.9693999886512756 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1702 |
| topics[1].subfield.display_name | Artificial Intelligence |
| topics[1].display_name | Statistical and Computational Modeling |
| topics[2].id | https://openalex.org/T10876 |
| topics[2].field.id | https://openalex.org/fields/22 |
| topics[2].field.display_name | Engineering |
| topics[2].score | 0.9491999745368958 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/2207 |
| topics[2].subfield.display_name | Control and Systems Engineering |
| topics[2].display_name | Fault Detection and Control Systems |
| funders[0].id | https://openalex.org/F4320320879 |
| funders[0].ror | https://ror.org/018mejw64 |
| funders[0].display_name | Deutsche Forschungsgemeinschaft |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C41008148 |
| concepts[0].level | 0 |
| concepts[0].score | 0.6724154949188232 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[0].display_name | Computer science |
| concepts[1].id | https://openalex.org/C98045186 |
| concepts[1].level | 2 |
| concepts[1].score | 0.6223421096801758 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q205663 |
| concepts[1].display_name | Process (computing) |
| concepts[2].id | https://openalex.org/C527412718 |
| concepts[2].level | 2 |
| concepts[2].score | 0.5909627079963684 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q855395 |
| concepts[2].display_name | Interpretation (philosophy) |
| concepts[3].id | https://openalex.org/C2779530757 |
| concepts[3].level | 2 |
| concepts[3].score | 0.5505882501602173 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q1207505 |
| concepts[3].display_name | Quality (philosophy) |
| concepts[4].id | https://openalex.org/C2779343474 |
| concepts[4].level | 2 |
| concepts[4].score | 0.5404163002967834 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q3109175 |
| concepts[4].display_name | Context (archaeology) |
| concepts[5].id | https://openalex.org/C90673727 |
| concepts[5].level | 2 |
| concepts[5].score | 0.5050185322761536 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q901718 |
| concepts[5].display_name | Product (mathematics) |
| concepts[6].id | https://openalex.org/C43521106 |
| concepts[6].level | 2 |
| concepts[6].score | 0.4508589506149292 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q2165493 |
| concepts[6].display_name | Pipeline (software) |
| concepts[7].id | https://openalex.org/C119857082 |
| concepts[7].level | 1 |
| concepts[7].score | 0.34190818667411804 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q2539 |
| concepts[7].display_name | Machine learning |
| concepts[8].id | https://openalex.org/C154945302 |
| concepts[8].level | 1 |
| concepts[8].score | 0.3400871753692627 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[8].display_name | Artificial intelligence |
| concepts[9].id | https://openalex.org/C33923547 |
| concepts[9].level | 0 |
| concepts[9].score | 0.07786941528320312 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[9].display_name | Mathematics |
| concepts[10].id | https://openalex.org/C199360897 |
| concepts[10].level | 1 |
| concepts[10].score | 0.06456130743026733 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q9143 |
| concepts[10].display_name | Programming language |
| concepts[11].id | https://openalex.org/C138885662 |
| concepts[11].level | 0 |
| concepts[11].score | 0.0 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q5891 |
| concepts[11].display_name | Philosophy |
| concepts[12].id | https://openalex.org/C86803240 |
| concepts[12].level | 0 |
| concepts[12].score | 0.0 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q420 |
| concepts[12].display_name | Biology |
| concepts[13].id | https://openalex.org/C111472728 |
| concepts[13].level | 1 |
| concepts[13].score | 0.0 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q9471 |
| concepts[13].display_name | Epistemology |
| concepts[14].id | https://openalex.org/C2524010 |
| concepts[14].level | 1 |
| concepts[14].score | 0.0 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q8087 |
| concepts[14].display_name | Geometry |
| concepts[15].id | https://openalex.org/C151730666 |
| concepts[15].level | 1 |
| concepts[15].score | 0.0 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q7205 |
| concepts[15].display_name | Paleontology |
| keywords[0].id | https://openalex.org/keywords/computer-science |
| keywords[0].score | 0.6724154949188232 |
| keywords[0].display_name | Computer science |
| keywords[1].id | https://openalex.org/keywords/process |
| keywords[1].score | 0.6223421096801758 |
| keywords[1].display_name | Process (computing) |
| keywords[2].id | https://openalex.org/keywords/interpretation |
| keywords[2].score | 0.5909627079963684 |
| keywords[2].display_name | Interpretation (philosophy) |
| keywords[3].id | https://openalex.org/keywords/quality |
| keywords[3].score | 0.5505882501602173 |
| keywords[3].display_name | Quality (philosophy) |
| keywords[4].id | https://openalex.org/keywords/context |
| keywords[4].score | 0.5404163002967834 |
| keywords[4].display_name | Context (archaeology) |
| keywords[5].id | https://openalex.org/keywords/product |
| keywords[5].score | 0.5050185322761536 |
| keywords[5].display_name | Product (mathematics) |
| keywords[6].id | https://openalex.org/keywords/pipeline |
| keywords[6].score | 0.4508589506149292 |
| keywords[6].display_name | Pipeline (software) |
| keywords[7].id | https://openalex.org/keywords/machine-learning |
| keywords[7].score | 0.34190818667411804 |
| keywords[7].display_name | Machine learning |
| keywords[8].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[8].score | 0.3400871753692627 |
| keywords[8].display_name | Artificial intelligence |
| keywords[9].id | https://openalex.org/keywords/mathematics |
| keywords[9].score | 0.07786941528320312 |
| keywords[9].display_name | Mathematics |
| keywords[10].id | https://openalex.org/keywords/programming-language |
| keywords[10].score | 0.06456130743026733 |
| keywords[10].display_name | Programming language |
| language | en |
| locations[0].id | doi:10.1016/j.procir.2023.06.183 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S2898565713 |
| locations[0].source.issn | 2212-8271 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 2212-8271 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | Procedia CIRP |
| locations[0].source.host_organization | https://openalex.org/P4310320990 |
| locations[0].source.host_organization_name | Elsevier BV |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310320990 |
| locations[0].source.host_organization_lineage_names | Elsevier BV |
| locations[0].license | cc-by-nc-nd |
| locations[0].pdf_url | |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by-nc-nd |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Procedia CIRP |
| locations[0].landing_page_url | https://doi.org/10.1016/j.procir.2023.06.183 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5018196105 |
| authorships[0].author.orcid | https://orcid.org/0000-0001-8363-1331 |
| authorships[0].author.display_name | Daniel Buschmann |
| authorships[0].countries | DE |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I887968799 |
| authorships[0].affiliations[0].raw_affiliation_string | Laboratory forMachine Tools and Production Engineering (WZL), RWTH Aachen University, 52074 Aachen, Germany |
| authorships[0].institutions[0].id | https://openalex.org/I887968799 |
| authorships[0].institutions[0].ror | https://ror.org/04xfq0f34 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I887968799 |
| authorships[0].institutions[0].country_code | DE |
| authorships[0].institutions[0].display_name | RWTH Aachen University |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Daniel Buschmann |
| authorships[0].is_corresponding | True |
| authorships[0].raw_affiliation_strings | Laboratory forMachine Tools and Production Engineering (WZL), RWTH Aachen University, 52074 Aachen, Germany |
| authorships[1].author.id | https://openalex.org/A5102979346 |
| authorships[1].author.orcid | https://orcid.org/0000-0003-3283-298X |
| authorships[1].author.display_name | Tobias Schulze |
| authorships[1].countries | DE |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I887968799 |
| authorships[1].affiliations[0].raw_affiliation_string | Laboratory forMachine Tools and Production Engineering (WZL), RWTH Aachen University, 52074 Aachen, Germany |
| authorships[1].institutions[0].id | https://openalex.org/I887968799 |
| authorships[1].institutions[0].ror | https://ror.org/04xfq0f34 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I887968799 |
| authorships[1].institutions[0].country_code | DE |
| authorships[1].institutions[0].display_name | RWTH Aachen University |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Tobias Schulze |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Laboratory forMachine Tools and Production Engineering (WZL), RWTH Aachen University, 52074 Aachen, Germany |
| authorships[2].author.id | https://openalex.org/A5019111293 |
| authorships[2].author.orcid | https://orcid.org/0000-0002-3047-5846 |
| authorships[2].author.display_name | Chrismarie Enslin |
| authorships[2].countries | DE |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I887968799 |
| authorships[2].affiliations[0].raw_affiliation_string | Information Management in Mechanical Engineering(IMA), RWTH Aachen University, 52068 Aachen, Germany |
| authorships[2].institutions[0].id | https://openalex.org/I887968799 |
| authorships[2].institutions[0].ror | https://ror.org/04xfq0f34 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I887968799 |
| authorships[2].institutions[0].country_code | DE |
| authorships[2].institutions[0].display_name | RWTH Aachen University |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Chrismarie Enslin |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Information Management in Mechanical Engineering(IMA), RWTH Aachen University, 52068 Aachen, Germany |
| authorships[3].author.id | https://openalex.org/A5045094368 |
| authorships[3].author.orcid | https://orcid.org/0000-0002-0011-5962 |
| authorships[3].author.display_name | Robert Schmitt |
| authorships[3].countries | DE |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I4210096398 |
| authorships[3].affiliations[0].raw_affiliation_string | Fraunhofer Institute for Production Technology (IPT), 52074 Aachen, Germany |
| authorships[3].affiliations[1].institution_ids | https://openalex.org/I887968799 |
| authorships[3].affiliations[1].raw_affiliation_string | Laboratory forMachine Tools and Production Engineering (WZL), RWTH Aachen University, 52074 Aachen, Germany |
| authorships[3].institutions[0].id | https://openalex.org/I4210096398 |
| authorships[3].institutions[0].ror | https://ror.org/00t0rcy29 |
| authorships[3].institutions[0].type | facility |
| authorships[3].institutions[0].lineage | https://openalex.org/I4210096398, https://openalex.org/I4923324 |
| authorships[3].institutions[0].country_code | DE |
| authorships[3].institutions[0].display_name | Fraunhofer Institute for Production Technology IPT |
| authorships[3].institutions[1].id | https://openalex.org/I887968799 |
| authorships[3].institutions[1].ror | https://ror.org/04xfq0f34 |
| authorships[3].institutions[1].type | education |
| authorships[3].institutions[1].lineage | https://openalex.org/I887968799 |
| authorships[3].institutions[1].country_code | DE |
| authorships[3].institutions[1].display_name | RWTH Aachen University |
| authorships[3].author_position | last |
| authorships[3].raw_author_name | Robert H. Schmitt |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | Fraunhofer Institute for Production Technology (IPT), 52074 Aachen, Germany, Laboratory forMachine Tools and Production Engineering (WZL), RWTH Aachen University, 52074 Aachen, Germany |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://doi.org/10.1016/j.procir.2023.06.183 |
| open_access.oa_status | diamond |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Interpretation Framework of Predictive Quality Models for Process- and Product-oriented Decision Support |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T12026 |
| primary_topic.field.id | https://openalex.org/fields/17 |
| primary_topic.field.display_name | Computer Science |
| primary_topic.score | 0.9873999953269958 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/1702 |
| primary_topic.subfield.display_name | Artificial Intelligence |
| primary_topic.display_name | Explainable Artificial Intelligence (XAI) |
| related_works | https://openalex.org/W4313320911, https://openalex.org/W4327743144, https://openalex.org/W4245077728, https://openalex.org/W2607424049, https://openalex.org/W4390922876, https://openalex.org/W2084978036, https://openalex.org/W2390631662, https://openalex.org/W4240703725, https://openalex.org/W381496026, https://openalex.org/W4399634508 |
| cited_by_count | 9 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 3 |
| counts_by_year[1].year | 2024 |
| counts_by_year[1].cited_by_count | 5 |
| counts_by_year[2].year | 2023 |
| counts_by_year[2].cited_by_count | 1 |
| locations_count | 1 |
| best_oa_location.id | doi:10.1016/j.procir.2023.06.183 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S2898565713 |
| best_oa_location.source.issn | 2212-8271 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 2212-8271 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | Procedia CIRP |
| best_oa_location.source.host_organization | https://openalex.org/P4310320990 |
| best_oa_location.source.host_organization_name | Elsevier BV |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310320990 |
| best_oa_location.source.host_organization_lineage_names | Elsevier BV |
| best_oa_location.license | cc-by-nc-nd |
| best_oa_location.pdf_url | |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by-nc-nd |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Procedia CIRP |
| best_oa_location.landing_page_url | https://doi.org/10.1016/j.procir.2023.06.183 |
| primary_location.id | doi:10.1016/j.procir.2023.06.183 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S2898565713 |
| primary_location.source.issn | 2212-8271 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 2212-8271 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | Procedia CIRP |
| primary_location.source.host_organization | https://openalex.org/P4310320990 |
| primary_location.source.host_organization_name | Elsevier BV |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310320990 |
| primary_location.source.host_organization_lineage_names | Elsevier BV |
| primary_location.license | cc-by-nc-nd |
| primary_location.pdf_url | |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by-nc-nd |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Procedia CIRP |
| primary_location.landing_page_url | https://doi.org/10.1016/j.procir.2023.06.183 |
| publication_date | 2023-01-01 |
| publication_year | 2023 |
| referenced_works | https://openalex.org/W6734006708, https://openalex.org/W3187293469, https://openalex.org/W3131274985, https://openalex.org/W2809925683, https://openalex.org/W3116286104, https://openalex.org/W2891503716, https://openalex.org/W6748774907, https://openalex.org/W6785168100, https://openalex.org/W3193505144, https://openalex.org/W3158862403, https://openalex.org/W3166506493, https://openalex.org/W3182392194, https://openalex.org/W6785286577, https://openalex.org/W6804969346, https://openalex.org/W3129213854, https://openalex.org/W2981731882, https://openalex.org/W6752771859, https://openalex.org/W6891809924, https://openalex.org/W2129888542, https://openalex.org/W6766587337, https://openalex.org/W6766846328, https://openalex.org/W2797800832, https://openalex.org/W6662814578, https://openalex.org/W1678356000, https://openalex.org/W2158585626, https://openalex.org/W3157738679, https://openalex.org/W4236685907, https://openalex.org/W2048231652, https://openalex.org/W4252507631, https://openalex.org/W3105959310, https://openalex.org/W2965446359, https://openalex.org/W2911495555, https://openalex.org/W4200224444, https://openalex.org/W4237896451, https://openalex.org/W4245809077, https://openalex.org/W2969476445, https://openalex.org/W4238243312 |
| referenced_works_count | 37 |
| abstract_inverted_index.a | 10, 35, 65, 72, 85 |
| abstract_inverted_index.In | 0, 75 |
| abstract_inverted_index.an | 77 |
| abstract_inverted_index.as | 20, 22 |
| abstract_inverted_index.in | 6, 26, 84 |
| abstract_inverted_index.is | 9, 89 |
| abstract_inverted_index.of | 3, 40 |
| abstract_inverted_index.to | 12, 43 |
| abstract_inverted_index.we | 33 |
| abstract_inverted_index.For | 30 |
| abstract_inverted_index.and | 14, 47, 57, 68 |
| abstract_inverted_index.for | 37, 64, 71, 80 |
| abstract_inverted_index.one | 63 |
| abstract_inverted_index.the | 1, 16, 23, 27, 69, 81 |
| abstract_inverted_index.two | 61, 82 |
| abstract_inverted_index.This | 50 |
| abstract_inverted_index.also | 90 |
| abstract_inverted_index.into | 60 |
| abstract_inverted_index.need | 11 |
| abstract_inverted_index.them | 59 |
| abstract_inverted_index.this | 31 |
| abstract_inverted_index.view | 67 |
| abstract_inverted_index.well | 21 |
| abstract_inverted_index.data. | 29 |
| abstract_inverted_index.other | 70 |
| abstract_inverted_index.there | 8 |
| abstract_inverted_index.used, | 19 |
| abstract_inverted_index.view. | 74 |
| abstract_inverted_index.enable | 44 |
| abstract_inverted_index.models | 18, 42 |
| abstract_inverted_index.concept | 79 |
| abstract_inverted_index.context | 2 |
| abstract_inverted_index.develop | 34 |
| abstract_inverted_index.explain | 13 |
| abstract_inverted_index.machine | 86 |
| abstract_inverted_index.methods | 56 |
| abstract_inverted_index.modules | 83 |
| abstract_inverted_index.present | 25 |
| abstract_inverted_index.quality | 5 |
| abstract_inverted_index.combines | 52 |
| abstract_inverted_index.learning | 87 |
| abstract_inverted_index.modules, | 62 |
| abstract_inverted_index.pipeline | 88 |
| abstract_inverted_index.process- | 46 |
| abstract_inverted_index.purpose, | 32 |
| abstract_inverted_index.addition, | 76 |
| abstract_inverted_index.different | 53 |
| abstract_inverted_index.framework | 36, 51 |
| abstract_inverted_index.provided. | 91 |
| abstract_inverted_index.decisions. | 49 |
| abstract_inverted_index.predictive | 4, 17, 41 |
| abstract_inverted_index.structures | 58 |
| abstract_inverted_index.underlying | 28 |
| abstract_inverted_index.understand | 15 |
| abstract_inverted_index.production, | 7 |
| abstract_inverted_index.data-driven, | 45 |
| abstract_inverted_index.dependencies | 24 |
| abstract_inverted_index.implementation | 78 |
| abstract_inverted_index.interpretation | 39, 55 |
| abstract_inverted_index.model-agnostic | 54 |
| abstract_inverted_index.process-oriented | 66 |
| abstract_inverted_index.product-oriented | 48, 73 |
| abstract_inverted_index.model-independent | 38 |
| cited_by_percentile_year.max | 98 |
| cited_by_percentile_year.min | 89 |
| corresponding_author_ids | https://openalex.org/A5018196105 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 4 |
| corresponding_institution_ids | https://openalex.org/I887968799 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/16 |
| sustainable_development_goals[0].score | 0.6800000071525574 |
| sustainable_development_goals[0].display_name | Peace, Justice and strong institutions |
| citation_normalized_percentile.value | 0.88076685 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |