{"id":"W4413533962","doi":"10.1111/evj.70084","title":"Born to run? Associations between gestational and early‐life exposures and later‐life performance outcomes in Thoroughbreds","year":2025,"lang":"en","type":"article","venue":"Equine Veterinary Journal","topic":"Veterinary Equine Medical Research","field":"Veterinary","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Royal Veterinary College; Horserace Betting Levy Board","keywords":"Medicine; Gestational age; Logistic regression; Demography; Weaning; Odds; Cohort; Cohort study; Odds ratio; Pregnancy; Internal medicine; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005644172,0.0001995034,0.0001466644,0.0002924239,0.0002127506,0.0004211152,0.0003599677,0.000494116,0.00177066],"category_scores_gemma":[0.001703219,0.0001778014,0.0002667211,0.0002843631,0.0002338409,0.0002968076,0.0003863733,0.0004625769,0.0001790824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002006595,"about_ca_system_score_gemma":0.0002037387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006838948,"about_ca_topic_score_gemma":0.01066623,"domain_scores_codex":[0.9997304,0.00006893682,0.00002035438,0.00008251295,0.0000326607,0.00006504748],"domain_scores_gemma":[0.9984737,0.000208195,0.0009119008,0.00007837138,0.00008118151,0.000246713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005435993,0.00002067063,0.9991622,0.000005042234,0.00002140122,0.00003290465,0.00005231349,0.00001412794,0.000167887,0.000009241615,0.00002987121,0.0004299511],"study_design_scores_gemma":[5.687716e-7,0.00005707206,0.9997279,0.00000475079,0.000007596129,0.0000526611,0.0000580749,0.00002597659,0.00001696767,0.000005593588,0.00004202422,7.314366e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995679,0.0001647295,0.00002680931,0.00002796792,0.000002231672,0.000001094513,0.0001059313,7.57181e-7,0.0001025159],"genre_scores_gemma":[0.9994299,0.0000942339,0.00006085683,0.00001175538,0.000005378256,0.000003210879,0.0001778132,8.465151e-7,0.000216036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006838948,"threshold_uncertainty_score":0.01359826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1017261958105278,"score_gpt":0.4071758448273154,"score_spread":0.3054496490167877,"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."}}