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Record W2993980853 · doi:10.1002/fsh.10393

On Improved Care of Black Bass During Live-Release Competitive Angling Events – Recent Innovations and Associated Research Needs

2019· article· en· W2993980853 on OpenAlexaffabout
Steven J. Cooke, Alice E.I. Abrams, Aaron J. Zolderdo, Cory D. Suski

Bibliographic record

VenueFisheries · 2019
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Retail Behavior Studies
Canadian institutionsCarleton University
Fundersnot available
KeywordsFishingFisheryBass (fish)BusinessBiology

Abstract

fetched live from OpenAlex

FisheriesVolume 45, Issue 4 p. 178-183 Policy and Issues On Improved Care of Black Bass During Live-Release Competitive Angling Events – Recent Innovations and Associated Research Needs Steven J. Cooke, Corresponding Author Steven J. Cooke steven.cooke@carleton.ca orcid.org/0000-0002-5407-0659 Carleton University, Department of Biology and Institute of Environmental and Interdisciplinary Science, Fish Ecology and Conservation Physiology Laboratory, 1125 Colonel By Drive, Ottawa, ON, Canada, K1S 5B6Search for more papers by this authorAlice E. I. Abrams, Alice E. I. Abrams Carleton University, Department of Biology and Institute of Environmental and Interdisciplinary Science, Fish Ecology and Conservation Physiology Laboratory, Ottawa, ON, CanadaSearch for more papers by this authorAaron J. Zolderdo, Aaron J. Zolderdo Carleton University, Department of Biology and Institute of Environmental and Interdisciplinary Science, Fish Ecology and Conservation Physiology Laboratory, Ottawa, ON, CanadaSearch for more papers by this authorCory D. Suski, Cory D. Suski Department of Natural Resources and Environmental Sciences, University of Illinois, Urbana, ILSearch for more papers by this author Steven J. Cooke, Corresponding Author Steven J. Cooke steven.cooke@carleton.ca orcid.org/0000-0002-5407-0659 Carleton University, Department of Biology and Institute of Environmental and Interdisciplinary Science, Fish Ecology and Conservation Physiology Laboratory, 1125 Colonel By Drive, Ottawa, ON, Canada, K1S 5B6Search for more papers by this authorAlice E. I. Abrams, Alice E. I. Abrams Carleton University, Department of Biology and Institute of Environmental and Interdisciplinary Science, Fish Ecology and Conservation Physiology Laboratory, Ottawa, ON, CanadaSearch for more papers by this authorAaron J. Zolderdo, Aaron J. Zolderdo Carleton University, Department of Biology and Institute of Environmental and Interdisciplinary Science, Fish Ecology and Conservation Physiology Laboratory, Ottawa, ON, CanadaSearch for more papers by this authorCory D. Suski, Cory D. Suski Department of Natural Resources and Environmental Sciences, University of Illinois, Urbana, ILSearch for more papers by this author First published: 30 November 2019 https://doi.org/10.1002/fsh.10393Citations: 7Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat Citing Literature Volume45, Issue4April 2020Pages 178-183 RelatedInformation

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.026
metaresearch head score (Gemma)0.041
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.042
Threshold uncertainty score0.137

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0260.041
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0020.005
Scholarly communication0.0050.006
Open science0.0030.004
Research integrity0.0090.007
Insufficient payload (model declined to judge)0.0200.003

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.036
GPT teacher head0.271
Teacher spread0.236 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations16
Published2019
Admission routes2
Has abstractyes

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