{"id":"W2801057283","doi":"10.1111/evj.12955","title":"Ontario Racehorse Death Registry, 2003–2015: Descriptive analysis and rates of mortality","year":2018,"lang":"en","type":"article","venue":"Equine Veterinary Journal","topic":"Veterinary Equine Medical Research","field":"Veterinary","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Medicine; Breed; Demography; Mortality rate; Cohort; Cohort study; Environmental health; Surgery; Internal medicine; Animal science; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002287346,0.0004717635,0.0009501918,0.0007568254,0.0004093492,0.0001678275,0.000752493,0.0002202263,0.006273644],"category_scores_gemma":[0.0007929964,0.0004059428,0.0003139916,0.001457572,0.0009569863,0.0006350847,0.0008296065,0.00104491,0.0000878975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000417251,"about_ca_system_score_gemma":0.0005980878,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007054285,"about_ca_topic_score_gemma":0.001399192,"domain_scores_codex":[0.9955077,0.000655572,0.001113862,0.0006680423,0.001111587,0.0009432154],"domain_scores_gemma":[0.9966843,0.0001509958,0.0005763131,0.0007555754,0.001042974,0.0007898958],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01783407,0.001794729,0.4653923,0.0003538299,0.008301839,0.02598341,0.009156813,0.00000731854,0.4438745,0.0002631028,0.01623316,0.01080495],"study_design_scores_gemma":[0.00332085,0.08430824,0.8344696,0.0003076251,0.001513915,0.02719272,0.00104926,0.001538068,0.001855295,0.0007630824,0.04259011,0.001091287],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917803,0.0005100654,0.003417303,0.0002541257,0.0004739458,0.0002885883,0.00004984741,0.00004225097,0.003183527],"genre_scores_gemma":[0.9908463,0.0001501283,0.004983235,0.00005431995,0.0006330576,0.0000189783,0.00002070883,0.00004776538,0.003245452],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4420192,"threshold_uncertainty_score":0.9998392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.224322921310489,"score_gpt":0.4492777318530771,"score_spread":0.2249548105425881,"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."}}