{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006462437,0.0003088308,0.0002653808,0.001119406,0.0008936253,0.0006903842,0.0007737635,0.0002972264,0.0014204],"category_scores_gemma":[0.0025562,0.0003170641,0.000591756,0.001091875,0.0004727118,0.0003419282,0.0006503617,0.0003364811,0.0001816772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008155627,"about_ca_system_score_gemma":0.006405399,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8952867,"about_ca_topic_score_gemma":0.9484542,"domain_scores_codex":[0.9994809,0.00004472807,0.00005698526,0.00009602154,0.0001809096,0.0001405911],"domain_scores_gemma":[0.998403,0.0001043993,0.0006786666,0.00007200518,0.0005303155,0.0002116027],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000287702,0.000005820051,0.9978352,0.00002181971,0.00003087975,0.00005700368,0.0002580766,0.0001223457,0.00007910375,0.00001823717,0.0005026949,0.001040116],"study_design_scores_gemma":[7.828503e-7,0.00001040294,0.9989987,0.0000172616,0.00001057484,0.0000352928,0.0002925386,0.0001675024,0.00001784121,0.000007574563,0.0004388942,0.000002804056],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938557,0.0006659833,0.0001535848,0.0002075771,0.00001205593,0.00002818145,0.003823618,0.0000137707,0.001239657],"genre_scores_gemma":[0.9952582,0.0005265177,0.0001057459,0.00002985418,0.000009811533,0.00001756733,0.003071437,0.00000358359,0.0009772509],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1047133,"threshold_uncertainty_score":0.2106599,"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."}}