{"id":"W2122613189","doi":"10.1016/j.thromres.2013.06.006","title":"Nonadherence with INR Monitoring and Anticoagulant Complications","year":2013,"lang":"en","type":"article","venue":"Thrombosis Research","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Medicine; Warfarin; Confidence interval; Hazard ratio; Logistic regression; Retrospective cohort study; Thrombosis; Internal medicine; Cohort study; Anticoagulant; Proportional hazards model; Cohort; Clinical endpoint; Surgery; Randomized controlled trial; Atrial fibrillation","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":[0.00275935,0.0002093466,0.0005706593,0.0009879426,0.0006506689,0.001489519,0.0005707156,0.001027277,0.003679649],"category_scores_gemma":[0.02326676,0.000276026,0.001088121,0.00181428,0.000331374,0.001032363,0.0005753401,0.002435098,0.0002335568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004360161,"about_ca_system_score_gemma":0.001113416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00397639,"about_ca_topic_score_gemma":0.005967681,"domain_scores_codex":[0.9962516,0.001248817,0.0008742158,0.0003048271,0.0009249754,0.0003956195],"domain_scores_gemma":[0.9726483,0.007918078,0.01475697,0.001327323,0.001507068,0.00184218],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001539495,0.000156505,0.9934842,0.00002341564,0.0001692635,0.00006744236,0.00004905287,0.0000232373,0.00002831731,0.00008195356,0.0001979423,0.005564847],"study_design_scores_gemma":[0.00001941059,0.0001815108,0.9982044,0.00003266304,0.0001235112,0.0004176878,0.0001262029,0.0002125878,0.0000329851,0.0002045964,0.0004378744,0.00000654183],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869102,0.004087194,0.0002796822,0.001889953,0.00014329,0.00002349925,0.0004009575,0.00001205764,0.006253318],"genre_scores_gemma":[0.9973783,0.0007423986,0.000241142,0.0004423988,0.0002034151,0.00001200809,0.0003015647,0.000004664461,0.0006740394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00397639,"threshold_uncertainty_score":0.01459301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3685420043203442,"score_gpt":0.4812491188638217,"score_spread":0.1127071145434774,"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."}}