{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009045984,0.00008591777,0.0001324843,0.00002814929,0.00004420389,0.00002942842,0.00006219549,0.00008970797,0.000007212843],"category_scores_gemma":[0.00002706893,0.00008606519,0.00002878655,0.000097188,0.0001095355,0.000009554646,0.00004697283,0.00006492352,1.463784e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003273818,"about_ca_system_score_gemma":0.00004843849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000030219,"about_ca_topic_score_gemma":0.0000810987,"domain_scores_codex":[0.9995083,0.00003465786,0.0001377168,0.0001651179,0.00003722521,0.0001169688],"domain_scores_gemma":[0.999805,0.00002350436,0.00003639012,0.00007877695,0.00003711079,0.00001923969],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003025322,0.0001232165,0.08091605,0.001416989,0.00009482253,0.000003131638,0.0002888062,0.0004596526,0.902178,0.002971094,0.001160674,0.01008498],"study_design_scores_gemma":[0.0007518913,0.0002025334,0.8229983,0.0001258762,0.00001129598,0.000001422792,0.0002234483,0.0001948146,0.1715489,0.002331061,0.001463747,0.0001467315],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955948,0.0001314768,0.0001709197,0.00007428365,0.00006210589,0.00009533704,0.00002976217,0.000004937111,0.003836366],"genre_scores_gemma":[0.9995757,0.0000570567,0.00004751466,0.00007775737,0.00001333954,0.00001603412,0.00007862198,0.00000530606,0.0001286099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7420822,"threshold_uncertainty_score":0.3509637,"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."}}