{"id":"W2148997956","doi":"","title":"Predictive Tool Development A Time-to-event study of Diabetes Complications in Ontario","year":2010,"lang":"en","type":"article","venue":"","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Decile; Medicine; Event (particle physics); Myocardial infarction; Diabetes mellitus; Disease; Duration (music); Emergency medicine; Medical emergency; Intensive care medicine; Statistics; Internal medicine; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00291084,0.0003365836,0.0003837759,0.001104424,0.001348595,0.0008364852,0.001175171,0.0002610272,0.005330205],"category_scores_gemma":[0.01577755,0.0002928771,0.0008286699,0.003388806,0.0003301889,0.0003469436,0.000956441,0.0005564372,0.0004920149],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01199248,"about_ca_system_score_gemma":0.02318514,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9650954,"about_ca_topic_score_gemma":0.9626096,"domain_scores_codex":[0.9983708,0.0003931434,0.0001175751,0.0001764746,0.0007237344,0.0002182042],"domain_scores_gemma":[0.9956542,0.001097575,0.0005969306,0.0003624704,0.001727032,0.0005617964],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007263514,0.0001363028,0.9307555,0.0001835845,0.0001329049,0.0004100957,0.001861376,0.002205573,0.0004530504,0.002073037,0.01241655,0.04864567],"study_design_scores_gemma":[0.000137912,0.0001516442,0.9780433,0.00009239725,0.0001571964,0.0001042805,0.0007645212,0.00697491,0.0002875574,0.0007166215,0.01253955,0.00003019864],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8944013,0.00125193,0.02169781,0.002634325,0.000135731,0.002195188,0.05569084,0.0004998192,0.02149311],"genre_scores_gemma":[0.9687179,0.0007061855,0.01224074,0.0001859962,0.00004102028,0.0009613098,0.00974945,0.00006529124,0.007332083],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9880075,"threshold_uncertainty_score":0.08701199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06384769615218797,"score_gpt":0.3486450516896312,"score_spread":0.2847973555374432,"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."}}