{"id":"W2979331964","doi":"10.1093/conphys/coz052","title":"Temporal profiles of cortisol accumulation and clearance support scale cortisol content as an indicator of chronic stress in fish","year":2019,"lang":"en","type":"article","venue":"Conservation Physiology","topic":"Aquaculture disease management and microbiota","field":"Immunology and Microbiology","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund","keywords":"Biology; Fish <Actinopterygii>; Scale (ratio); Chronic stress; Hydrocortisone; Physiology; Endocrinology; Fishery; Cartography","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":[0.000217954,0.0001964232,0.0002596034,0.0002999119,0.0001976198,0.000405618,0.0001261414,0.0002587647,0.001127755],"category_scores_gemma":[0.000335823,0.0001520143,0.0001902899,0.0001660401,0.0004282923,0.0002213784,0.0003238756,0.000515972,0.0001879622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002566707,"about_ca_system_score_gemma":0.0001771707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001937008,"about_ca_topic_score_gemma":0.002637449,"domain_scores_codex":[0.9998778,0.00001430257,0.00000748717,0.0000430355,0.00003017767,0.00002715038],"domain_scores_gemma":[0.999553,0.00005201729,0.0001685294,0.0000647583,0.00007512567,0.00008665155],"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":[0.001128968,0.00005340359,0.05753592,0.00004755978,0.00002622518,0.00004411508,0.0001467442,0.0001001414,0.9373339,0.00002377466,0.00004562352,0.003513609],"study_design_scores_gemma":[0.00001205946,0.001161039,0.9303724,0.000006339963,0.00002773379,0.00007380838,0.0002695096,0.0004431974,0.06726876,0.00005760056,0.000294619,0.00001291578],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985238,0.0001819693,0.0008351236,0.00001479964,0.000004959717,0.00001305727,0.0001588082,0.00001093221,0.0002564798],"genre_scores_gemma":[0.9987023,0.00007116373,0.0005010306,0.00002313677,0.000005401966,0.00002831057,0.0001474278,0.000004335046,0.0005169772],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001937008,"threshold_uncertainty_score":0.003851533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02173872330670588,"score_gpt":0.2643568536937856,"score_spread":0.2426181303870797,"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."}}