{"id":"W2729267805","doi":"10.1093/icb/icx012","title":"Ecology of Exercise in Wild Fish: Integrating Concepts of Individual Physiological Capacity, Behavior, and Fitness Through Diverse Case Studies","year":2017,"lang":"en","type":"article","venue":"Integrative and Comparative Biology","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"InStream Fisheries Research (Canada); University of British Columbia; Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; National Institute of Food and Agriculture; U.S. Department of Agriculture; U.S. Fish and Wildlife Service; Canada Research Chairs; Puerto Rico Sea Grant, University of Puerto Rico; Bonefish and Tarpon Trust","keywords":"Foraging; Biology; Micropterus; Oncorhynchus; Reproductive success; Ecology; Bass (fish); Fishery; Fish <Actinopterygii>; Population","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001686031,0.0004136618,0.0002832853,0.00258497,0.0008944891,0.00139039,0.001052884,0.0008242029,0.00127406],"category_scores_gemma":[0.002630575,0.0001946592,0.0004029749,0.001525454,0.002886913,0.002270844,0.001578732,0.0007131192,0.0002409631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001306271,"about_ca_system_score_gemma":0.0005024382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009182589,"about_ca_topic_score_gemma":0.02019111,"domain_scores_codex":[0.9993969,0.0002883008,0.00007521293,0.00007877903,0.0001036667,0.00005716154],"domain_scores_gemma":[0.9982206,0.00114722,0.0002838279,0.00007935468,0.0001800912,0.00008899583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001359635,0.0003462918,0.7207798,0.0013809,0.0001306227,0.00865412,0.01336528,0.006204387,0.00318993,0.02470586,0.00706411,0.2140428],"study_design_scores_gemma":[0.00001254175,0.0007993034,0.8431654,0.001555694,0.0001601414,0.01987057,0.03644782,0.01418672,0.002601112,0.02214039,0.05892752,0.0001328678],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8956494,0.03248027,0.02599029,0.003027665,0.0001682443,0.000324672,0.0006770606,0.0001191523,0.04156328],"genre_scores_gemma":[0.947724,0.01853145,0.02768597,0.000682015,0.0002016398,0.0003132159,0.0003624003,0.00003641094,0.004462874],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009182589,"threshold_uncertainty_score":0.01825833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1438879282625563,"score_gpt":0.3775144518345044,"score_spread":0.2336265235719481,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}