{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010755,0.0001438539,0.0002151534,0.00006360644,0.0005263849,0.00002317791,0.0003785155,0.00006438512,0.0006135716],"category_scores_gemma":[0.0001187346,0.000100395,0.0001779312,0.0001346935,0.0002223965,0.00008297001,0.0003385098,0.0001350746,0.00002856601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002370859,"about_ca_system_score_gemma":0.00002360555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004693613,"about_ca_topic_score_gemma":0.001044801,"domain_scores_codex":[0.9991854,0.0001040178,0.0002215682,0.0002336308,0.0000397511,0.0002155845],"domain_scores_gemma":[0.9993157,0.0001944608,0.0001310359,0.0002861467,0.00005819593,0.00001441918],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005070235,0.0005383636,0.002696726,0.00009073269,0.001022413,0.000005763725,0.003896794,0.0002386891,0.0841617,0.0003626651,0.9053754,0.001103681],"study_design_scores_gemma":[0.001346266,0.0001998692,0.009854627,0.00001565914,0.000287056,0.000004306168,0.003548184,0.00004574416,0.02109976,0.00005576127,0.9633465,0.0001963012],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9784818,0.00758434,0.000610052,0.008091704,0.000887139,0.001690841,0.002188582,0.0001470649,0.0003184202],"genre_scores_gemma":[0.9800724,0.0001618946,0.0003809686,0.001628267,0.0000452526,0.0002898828,0.001685943,0.00002501088,0.01571033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06306195,"threshold_uncertainty_score":0.6718178,"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."}}