{"id":"W4412828093","doi":"10.1016/j.theriogenology.2025.117596","title":"Tail chalk improved detection of true estrus alerts from an automated activity monitor system in a cohort study","year":2025,"lang":"en","type":"article","venue":"Theriogenology","topic":"Reproductive Physiology in Livestock","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia; Genome Canada","keywords":"Estrous cycle; Medicine; Logistic regression; Animal science; Ultrasonography; Corpus luteum; Activity monitor; Internal medicine; Biology; Surgery; Physical activity; Ovary","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":[0.000222775,0.0001552892,0.0004014156,0.00003549912,0.00008438816,0.000008066603,0.0002708638,0.0001828094,0.00002696964],"category_scores_gemma":[0.00003717213,0.00007175482,0.00004175338,0.0003191733,0.0001271195,0.00008742278,0.00009053074,0.000130858,0.000007939869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008407441,"about_ca_system_score_gemma":0.00001271245,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01025525,"about_ca_topic_score_gemma":0.002001093,"domain_scores_codex":[0.9983618,0.0005543312,0.0002482421,0.0005451002,0.00006778802,0.0002227201],"domain_scores_gemma":[0.9994246,0.0001172887,0.0001576441,0.0002083703,0.00006289757,0.00002913762],"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":[0.000238066,0.0002820083,0.1774369,0.000004963024,0.00007602664,0.000002459049,0.0001496138,0.000008629924,0.8073418,0.00001248179,5.619125e-7,0.01444656],"study_design_scores_gemma":[0.0002306278,0.001421894,0.9265584,0.000008953881,0.0000229455,0.000002113694,0.001013237,0.0006850437,0.0698036,0.0001434274,0.00001168572,0.00009810269],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981771,0.00006546134,0.000004086078,0.00008279322,0.0003784559,0.0009315394,0.0000240595,0.0002453217,0.00009120422],"genre_scores_gemma":[0.9996829,0.000004480417,0.00001742595,0.00001028849,0.00009368812,0.0001569169,0.000008560683,0.000001458766,0.00002426948],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7491215,"threshold_uncertainty_score":0.9963356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01363297320299298,"score_gpt":0.257027386048414,"score_spread":0.243394412845421,"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."}}