{"id":"W2135022991","doi":"10.1093/conphys/cou026","title":"Quantifying long-term stress in brown bears with the hair cortisol concentration: a biomarker that may be confounded by rapid changes in response to capture and handling","year":2014,"lang":"en","type":"article","venue":"Conservation Physiology","topic":"Animal Behavior and Welfare Studies","field":"Veterinary","cited_by":96,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Nunavut; University of Calgary; University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Advanced Education, Government of Alberta; Morris Animal Foundation","keywords":"Biology; Ursus; Endocrinology; Internal medicine; Biomarker; Stressor; Hair follicle; Physiology; Medicine; Neuroscience","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":[0.0007596253,0.0004403103,0.0005667256,0.0005086697,0.0008010947,0.0005752232,0.0003447493,0.000421538,0.0008125447],"category_scores_gemma":[0.0008498552,0.0002450144,0.0004689723,0.0003742192,0.0006460065,0.000353475,0.0005395614,0.0004503776,0.0001764151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002416133,"about_ca_system_score_gemma":0.000319861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004403611,"about_ca_topic_score_gemma":0.01239558,"domain_scores_codex":[0.9994387,0.0001261597,0.00003322947,0.0002213784,0.0001260852,0.00005438892],"domain_scores_gemma":[0.9994692,0.00009152857,0.0002095442,0.0000686119,0.00009260324,0.00006845329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005959991,0.0001798052,0.8572118,0.0001671949,0.0004732946,0.0001988507,0.0009709868,0.0003841993,0.1293885,0.0001232755,0.0002067507,0.01009929],"study_design_scores_gemma":[0.000004115078,0.0003160485,0.995699,0.00001012757,0.00008736067,0.0001571828,0.0002679032,0.000265502,0.002861916,0.00006955177,0.000251898,0.000009378802],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958954,0.0005883079,0.002698272,0.00003539174,0.00003335331,0.00004289951,0.0002572756,0.00001696227,0.0004321493],"genre_scores_gemma":[0.9951881,0.0002949761,0.003448066,0.000101622,0.00005239592,0.0001189276,0.000364889,0.00001274725,0.0004181798],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004403611,"threshold_uncertainty_score":0.008755982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0936681464840699,"score_gpt":0.3321867298430299,"score_spread":0.23851858335896,"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."}}