{"id":"W4406776043","doi":"10.1111/faf.12882","title":"Effectiveness of Conditioning Strategies in Improving Fish Fitness‐Related Traits","year":2025,"lang":"en","type":"article","venue":"Fish and Fisheries","topic":"Genetics and Physical Performance","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Fisheries and Oceans Canada","funders":"Natural Science Foundation of Guangdong Province; National Natural Science Foundation of China","keywords":"Conditioning; Fish <Actinopterygii>; Biology; Fishery; Zoology; Statistics; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.009877491,0.001523625,0.002476973,0.0008474155,0.0004064633,0.001471761,0.0007093668,0.0009531853,0.002710614],"category_scores_gemma":[0.0109784,0.0003379192,0.00883297,0.0009304096,0.0007175233,0.0006258872,0.0009215259,0.00108686,0.0001859734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004124186,"about_ca_system_score_gemma":0.0007693662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002898233,"about_ca_topic_score_gemma":0.003830527,"domain_scores_codex":[0.995464,0.002774952,0.0004859558,0.0008510188,0.0002690183,0.0001550211],"domain_scores_gemma":[0.9893987,0.008155867,0.001081404,0.000786065,0.0003463277,0.0002316761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01472201,0.0004745049,0.08235981,0.02774,0.7497166,0.0001588732,0.0001835822,0.005701321,0.01038282,0.0007469296,0.0009742492,0.1068392],"study_design_scores_gemma":[0.001000326,0.004025548,0.1390702,0.002628043,0.8419853,0.00009902861,0.0001049745,0.002287371,0.003550041,0.001063712,0.004137744,0.00004764444],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.4361005,0.5445738,0.01274328,0.001125429,0.0006931227,0.0003199456,0.001475361,0.0002311933,0.002737442],"genre_scores_gemma":[0.9771548,0.01833749,0.003219261,0.0004035863,0.00008832892,0.0001116367,0.0002947832,0.00003533216,0.000354767],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009877491,"threshold_uncertainty_score":0.05223775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003760793558278827,"score_gpt":0.2149789907013585,"score_spread":0.2112181971430797,"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."}}