{"id":"W4283394283","doi":"10.3390/fishes7040145","title":"First Look into the Use of Fish Scales as a Medium for Multi-Hormone Stress Analyses","year":2022,"lang":"en","type":"article","venue":"Fishes","topic":"Aquaculture disease management and microbiota","field":"Immunology and Microbiology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cortisone; Endocrinology; Internal medicine; Hormone; Dehydroepiandrosterone; Hydrocortisone; Fish <Actinopterygii>; Stress hormone; Androgen; Glucocorticoid; Biology; Medicine; Fishery","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":[0.002649504,0.0008413366,0.0004582303,0.0009024772,0.0006264852,0.001031659,0.0005518274,0.0005136477,0.002217426],"category_scores_gemma":[0.002060339,0.000373459,0.0004107798,0.0008456365,0.0008794923,0.0007885841,0.001382928,0.001026737,0.0006739891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003673125,"about_ca_system_score_gemma":0.0004293134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001408925,"about_ca_topic_score_gemma":0.004531782,"domain_scores_codex":[0.9983917,0.0005191611,0.0001731355,0.0003184456,0.0004738621,0.0001236744],"domain_scores_gemma":[0.9985109,0.0004022306,0.0002453339,0.0003103313,0.0004351485,0.00009601256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003967266,0.00006039181,0.0351082,0.0004874569,0.00006860547,0.0001890037,0.0007305685,0.00009133261,0.9377678,0.0007677288,0.000332478,0.02399963],"study_design_scores_gemma":[0.00002904708,0.004987045,0.4568552,0.0003974795,0.0003481758,0.001324643,0.003587477,0.001792781,0.4776844,0.003183518,0.04965571,0.0001546472],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7312021,0.01539665,0.2189454,0.001866509,0.001059778,0.001776257,0.003535201,0.0008678457,0.02535037],"genre_scores_gemma":[0.7344134,0.005404882,0.2426166,0.001305552,0.0002206753,0.002014309,0.001335316,0.0003238221,0.01236533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002649504,"threshold_uncertainty_score":0.01401204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06317207431359721,"score_gpt":0.2944203695296508,"score_spread":0.2312482952160536,"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."}}