{"id":"W2116974351","doi":"10.1111/j.1538-7836.2010.03756.x","title":"Twelve‐month outcomes and predictors of very stable INR control in prevalent warfarin users","year":2010,"lang":"en","type":"article","venue":"Journal of Thrombosis and Haemostasis","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":74,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Kaiser Permanente","keywords":"Medicine; Warfarin; Logistic regression; Internal medicine; Confidence interval; Retrospective cohort study; Odds ratio; Cohort; Proportional hazards model; Multivariate analysis; 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":[0.0005563844,0.0003203071,0.0005114768,0.0008407455,0.0006546629,0.001085954,0.0004595663,0.00103345,0.001981821],"category_scores_gemma":[0.002969685,0.0004287421,0.0009464731,0.001147167,0.0003473142,0.0008744327,0.0006201796,0.001353161,0.0002902826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003814781,"about_ca_system_score_gemma":0.0003931271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008848702,"about_ca_topic_score_gemma":0.008600284,"domain_scores_codex":[0.9995844,0.00009111756,0.00006523763,0.00007240802,0.00005514708,0.0001317727],"domain_scores_gemma":[0.9972825,0.0005198535,0.001096753,0.0001401484,0.000174274,0.0007865118],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007938434,0.0001070239,0.9980854,0.000004853475,0.00006988227,0.00008169302,0.00005363233,0.00003150628,0.00008420203,0.000009204209,0.00005719034,0.0006215536],"study_design_scores_gemma":[0.00002202237,0.0002017365,0.9991935,0.00000259671,0.000049843,0.0001338555,0.0001388113,0.0001603846,0.00002455312,0.00001935132,0.00004603279,0.000007508858],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999317,0.0001463184,0.0000268033,0.00004677847,0.000008102626,0.000002540134,0.0002121631,0.00000226802,0.0002380458],"genre_scores_gemma":[0.9993842,0.00007890487,0.00001882854,0.0000190683,0.00001913003,0.000003166681,0.000307797,0.000001186835,0.0001676703],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008848702,"threshold_uncertainty_score":0.0175944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06013442058748709,"score_gpt":0.3383681464828807,"score_spread":0.2782337258953936,"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."}}