A multiyear hierarchical Bayesian mark-recapture model incorporating data on recurring salmonid behavior to account for sparse or missing data: Supplementary Figs. 1-4 Article Swipe
Bryce N. Oldemeyer
,
Timothy Copeland
,
Brian P. Kennedy
·
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.7755/fb.116.3.4s3
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.7755/fb.116.3.4s3
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.7755/fb.116.3.4s3
- https://doi.org/10.7755/fb.116.3.4s3
- OA Status
- diamond
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4255597115
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4255597115Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.7755/fb.116.3.4s3Digital Object Identifier
- Title
-
A multiyear hierarchical Bayesian mark-recapture model incorporating data on recurring salmonid behavior to account for sparse or missing data: Supplementary Figs. 1-4Work title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2018Year of publication
- Publication date
-
2018-06-07Full publication date if available
- Authors
-
Bryce N. Oldemeyer, Timothy Copeland, Brian P. KennedyList of authors in order
- Landing page
-
https://doi.org/10.7755/fb.116.3.4s3Publisher landing page
- PDF URL
-
https://doi.org/10.7755/fb.116.3.4s3Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.7755/fb.116.3.4s3Direct OA link when available
- Concepts
-
Mark and recapture, Bayesian probability, Fishery, Missing data, Bayesian inference, Computer science, Statistics, Geography, Econometrics, Environmental science, Mathematics, Artificial intelligence, Machine learning, Biology, Demography, Sociology, PopulationTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4255597115 |
|---|---|
| doi | https://doi.org/10.7755/fb.116.3.4s3 |
| ids.doi | https://doi.org/10.7755/fb.116.3.4s3 |
| ids.openalex | https://openalex.org/W4255597115 |
| fwci | 0.0 |
| type | article |
| title | A multiyear hierarchical Bayesian mark-recapture model incorporating data on recurring salmonid behavior to account for sparse or missing data: Supplementary Figs. 1-4 |
| biblio.issue | 3 |
| biblio.volume | 116 |
| biblio.last_page | |
| biblio.first_page | |
| topics[0].id | https://openalex.org/T10302 |
| topics[0].field.id | https://openalex.org/fields/23 |
| topics[0].field.display_name | Environmental Science |
| topics[0].score | 0.9987000226974487 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2309 |
| topics[0].subfield.display_name | Nature and Landscape Conservation |
| topics[0].display_name | Fish Ecology and Management Studies |
| topics[1].id | https://openalex.org/T10199 |
| topics[1].field.id | https://openalex.org/fields/23 |
| topics[1].field.display_name | Environmental Science |
| topics[1].score | 0.9976000189781189 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2303 |
| topics[1].subfield.display_name | Ecology |
| topics[1].display_name | Wildlife Ecology and Conservation |
| topics[2].id | https://openalex.org/T12388 |
| topics[2].field.id | https://openalex.org/fields/13 |
| topics[2].field.display_name | Biochemistry, Genetics and Molecular Biology |
| topics[2].score | 0.9857000112533569 |
| topics[2].domain.id | https://openalex.org/domains/1 |
| topics[2].domain.display_name | Life Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1312 |
| topics[2].subfield.display_name | Molecular Biology |
| topics[2].display_name | Identification and Quantification in Food |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C36528806 |
| concepts[0].level | 3 |
| concepts[0].score | 0.7473499178886414 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q796147 |
| concepts[0].display_name | Mark and recapture |
| concepts[1].id | https://openalex.org/C107673813 |
| concepts[1].level | 2 |
| concepts[1].score | 0.6850554943084717 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q812534 |
| concepts[1].display_name | Bayesian probability |
| concepts[2].id | https://openalex.org/C505870484 |
| concepts[2].level | 1 |
| concepts[2].score | 0.6240246295928955 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q180538 |
| concepts[2].display_name | Fishery |
| concepts[3].id | https://openalex.org/C9357733 |
| concepts[3].level | 2 |
| concepts[3].score | 0.505115807056427 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q6878417 |
| concepts[3].display_name | Missing data |
| concepts[4].id | https://openalex.org/C160234255 |
| concepts[4].level | 3 |
| concepts[4].score | 0.4786219000816345 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q812535 |
| concepts[4].display_name | Bayesian inference |
| concepts[5].id | https://openalex.org/C41008148 |
| concepts[5].level | 0 |
| concepts[5].score | 0.39976611733436584 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[5].display_name | Computer science |
| concepts[6].id | https://openalex.org/C105795698 |
| concepts[6].level | 1 |
| concepts[6].score | 0.3680059313774109 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q12483 |
| concepts[6].display_name | Statistics |
| concepts[7].id | https://openalex.org/C205649164 |
| concepts[7].level | 0 |
| concepts[7].score | 0.3641316592693329 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q1071 |
| concepts[7].display_name | Geography |
| concepts[8].id | https://openalex.org/C149782125 |
| concepts[8].level | 1 |
| concepts[8].score | 0.3408699035644531 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q160039 |
| concepts[8].display_name | Econometrics |
| concepts[9].id | https://openalex.org/C39432304 |
| concepts[9].level | 0 |
| concepts[9].score | 0.32061293721199036 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q188847 |
| concepts[9].display_name | Environmental science |
| concepts[10].id | https://openalex.org/C33923547 |
| concepts[10].level | 0 |
| concepts[10].score | 0.19492319226264954 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[10].display_name | Mathematics |
| concepts[11].id | https://openalex.org/C154945302 |
| concepts[11].level | 1 |
| concepts[11].score | 0.19311866164207458 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[11].display_name | Artificial intelligence |
| concepts[12].id | https://openalex.org/C119857082 |
| concepts[12].level | 1 |
| concepts[12].score | 0.16357171535491943 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q2539 |
| concepts[12].display_name | Machine learning |
| concepts[13].id | https://openalex.org/C86803240 |
| concepts[13].level | 0 |
| concepts[13].score | 0.15448620915412903 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q420 |
| concepts[13].display_name | Biology |
| concepts[14].id | https://openalex.org/C149923435 |
| concepts[14].level | 1 |
| concepts[14].score | 0.10072624683380127 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q37732 |
| concepts[14].display_name | Demography |
| concepts[15].id | https://openalex.org/C144024400 |
| concepts[15].level | 0 |
| concepts[15].score | 0.08353325724601746 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q21201 |
| concepts[15].display_name | Sociology |
| concepts[16].id | https://openalex.org/C2908647359 |
| concepts[16].level | 2 |
| concepts[16].score | 0.0 |
| concepts[16].wikidata | https://www.wikidata.org/wiki/Q2625603 |
| concepts[16].display_name | Population |
| keywords[0].id | https://openalex.org/keywords/mark-and-recapture |
| keywords[0].score | 0.7473499178886414 |
| keywords[0].display_name | Mark and recapture |
| keywords[1].id | https://openalex.org/keywords/bayesian-probability |
| keywords[1].score | 0.6850554943084717 |
| keywords[1].display_name | Bayesian probability |
| keywords[2].id | https://openalex.org/keywords/fishery |
| keywords[2].score | 0.6240246295928955 |
| keywords[2].display_name | Fishery |
| keywords[3].id | https://openalex.org/keywords/missing-data |
| keywords[3].score | 0.505115807056427 |
| keywords[3].display_name | Missing data |
| keywords[4].id | https://openalex.org/keywords/bayesian-inference |
| keywords[4].score | 0.4786219000816345 |
| keywords[4].display_name | Bayesian inference |
| keywords[5].id | https://openalex.org/keywords/computer-science |
| keywords[5].score | 0.39976611733436584 |
| keywords[5].display_name | Computer science |
| keywords[6].id | https://openalex.org/keywords/statistics |
| keywords[6].score | 0.3680059313774109 |
| keywords[6].display_name | Statistics |
| keywords[7].id | https://openalex.org/keywords/geography |
| keywords[7].score | 0.3641316592693329 |
| keywords[7].display_name | Geography |
| keywords[8].id | https://openalex.org/keywords/econometrics |
| keywords[8].score | 0.3408699035644531 |
| keywords[8].display_name | Econometrics |
| keywords[9].id | https://openalex.org/keywords/environmental-science |
| keywords[9].score | 0.32061293721199036 |
| keywords[9].display_name | Environmental science |
| keywords[10].id | https://openalex.org/keywords/mathematics |
| keywords[10].score | 0.19492319226264954 |
| keywords[10].display_name | Mathematics |
| keywords[11].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[11].score | 0.19311866164207458 |
| keywords[11].display_name | Artificial intelligence |
| keywords[12].id | https://openalex.org/keywords/machine-learning |
| keywords[12].score | 0.16357171535491943 |
| keywords[12].display_name | Machine learning |
| keywords[13].id | https://openalex.org/keywords/biology |
| keywords[13].score | 0.15448620915412903 |
| keywords[13].display_name | Biology |
| keywords[14].id | https://openalex.org/keywords/demography |
| keywords[14].score | 0.10072624683380127 |
| keywords[14].display_name | Demography |
| keywords[15].id | https://openalex.org/keywords/sociology |
| keywords[15].score | 0.08353325724601746 |
| keywords[15].display_name | Sociology |
| language | en |
| locations[0].id | doi:10.7755/fb.116.3.4s3 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S131537223 |
| locations[0].source.issn | 0090-0656, 1937-4518 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 0090-0656 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | True |
| locations[0].source.display_name | Fishery Bulletin |
| locations[0].source.host_organization | https://openalex.org/P4310315696 |
| locations[0].source.host_organization_name | National Oceanic and Atmospheric Administration |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310315696 |
| locations[0].source.host_organization_lineage_names | National Oceanic and Atmospheric Administration |
| locations[0].license | |
| locations[0].pdf_url | https://doi.org/10.7755/fb.116.3.4s3 |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Fishery Bulletin |
| locations[0].landing_page_url | https://doi.org/10.7755/fb.116.3.4s3 |
| indexed_in | crossref, doaj |
| authorships[0].author.id | https://openalex.org/A5066792456 |
| authorships[0].author.orcid | |
| authorships[0].author.display_name | Bryce N. Oldemeyer |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Bryce N. Oldemeyer |
| authorships[0].is_corresponding | False |
| authorships[1].author.id | https://openalex.org/A5079117500 |
| authorships[1].author.orcid | |
| authorships[1].author.display_name | Timothy Copeland |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Timothy Copeland |
| authorships[1].is_corresponding | False |
| authorships[2].author.id | https://openalex.org/A5110411377 |
| authorships[2].author.orcid | |
| authorships[2].author.display_name | Brian P. Kennedy |
| authorships[2].author_position | last |
| authorships[2].raw_author_name | Brian P. Kennedy |
| authorships[2].is_corresponding | False |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://doi.org/10.7755/fb.116.3.4s3 |
| open_access.oa_status | diamond |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | A multiyear hierarchical Bayesian mark-recapture model incorporating data on recurring salmonid behavior to account for sparse or missing data: Supplementary Figs. 1-4 |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10302 |
| primary_topic.field.id | https://openalex.org/fields/23 |
| primary_topic.field.display_name | Environmental Science |
| primary_topic.score | 0.9987000226974487 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2309 |
| primary_topic.subfield.display_name | Nature and Landscape Conservation |
| primary_topic.display_name | Fish Ecology and Management Studies |
| related_works | https://openalex.org/W2407375987, https://openalex.org/W2505726097, https://openalex.org/W2950975704, https://openalex.org/W3049691116, https://openalex.org/W2010643158, https://openalex.org/W2106867672, https://openalex.org/W4310268968, https://openalex.org/W3081214562, https://openalex.org/W2753713401, https://openalex.org/W2053745677 |
| cited_by_count | 0 |
| locations_count | 1 |
| best_oa_location.id | doi:10.7755/fb.116.3.4s3 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S131537223 |
| best_oa_location.source.issn | 0090-0656, 1937-4518 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 0090-0656 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | True |
| best_oa_location.source.display_name | Fishery Bulletin |
| best_oa_location.source.host_organization | https://openalex.org/P4310315696 |
| best_oa_location.source.host_organization_name | National Oceanic and Atmospheric Administration |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310315696 |
| best_oa_location.source.host_organization_lineage_names | National Oceanic and Atmospheric Administration |
| best_oa_location.license | |
| best_oa_location.pdf_url | https://doi.org/10.7755/fb.116.3.4s3 |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Fishery Bulletin |
| best_oa_location.landing_page_url | https://doi.org/10.7755/fb.116.3.4s3 |
| primary_location.id | doi:10.7755/fb.116.3.4s3 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S131537223 |
| primary_location.source.issn | 0090-0656, 1937-4518 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 0090-0656 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | True |
| primary_location.source.display_name | Fishery Bulletin |
| primary_location.source.host_organization | https://openalex.org/P4310315696 |
| primary_location.source.host_organization_name | National Oceanic and Atmospheric Administration |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310315696 |
| primary_location.source.host_organization_lineage_names | National Oceanic and Atmospheric Administration |
| primary_location.license | |
| primary_location.pdf_url | https://doi.org/10.7755/fb.116.3.4s3 |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Fishery Bulletin |
| primary_location.landing_page_url | https://doi.org/10.7755/fb.116.3.4s3 |
| publication_date | 2018-06-07 |
| publication_year | 2018 |
| referenced_works_count | 0 |
| abstract_inverted_index | |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 3 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/2 |
| sustainable_development_goals[0].score | 0.4300000071525574 |
| sustainable_development_goals[0].display_name | Zero hunger |
| citation_normalized_percentile.value | 0.29174786 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |