{"id":"W3207540097","doi":"10.3390/ani11102950","title":"Factors Associated with Fatality in Ontario Thoroughbred Racehorses: 2003–2015","year":2021,"lang":"en","type":"article","venue":"Animals","topic":"Veterinary Equine Medical Research","field":"Veterinary","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Demography; Medicine; Case fatality rate; Logistic regression; Environmental health; Population; Internal medicine","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00077749,0.0002640104,0.0004851846,0.00009119108,0.0000824841,0.0000777645,0.0003113863,0.0001940658,0.004872697],"category_scores_gemma":[0.002667318,0.0002111559,0.00006997173,0.0008460719,0.0001217243,0.0002446335,0.00032588,0.0007117114,0.0001189633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006590111,"about_ca_system_score_gemma":0.001003822,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01941734,"about_ca_topic_score_gemma":0.1460171,"domain_scores_codex":[0.9970189,0.0005123678,0.0004016516,0.0005676701,0.0007800952,0.000719269],"domain_scores_gemma":[0.9985276,0.000295025,0.00009495583,0.0004996133,0.0003292456,0.0002535015],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001068763,0.0009872422,0.9471409,0.00005408945,0.0002626544,0.01118437,0.003265684,0.000002916306,0.02788263,0.0002447482,0.007291096,0.0006149458],"study_design_scores_gemma":[0.001074872,0.001903667,0.981681,0.0001564837,0.000018251,0.0000668701,0.000768533,0.00003674041,0.0008814898,0.0001168015,0.01297937,0.0003159208],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923764,0.0001742072,0.00002698329,0.0003381014,0.0001150659,0.0002846581,0.00004568794,0.00008642105,0.006552414],"genre_scores_gemma":[0.9948969,0.000006481824,0.0001435471,0.0001095513,0.00003265296,0.00003485718,0.0001667091,0.00003990723,0.004569375],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1265997,"threshold_uncertainty_score":0.996037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3103550898128944,"score_gpt":0.415964554384342,"score_spread":0.1056094645714476,"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."}}