{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002189172,0.00006362807,0.0001454057,0.0001323519,0.0001760618,0.00007139612,0.00006354008,0.00002831268,0.0002704628],"category_scores_gemma":[0.00005815648,0.00004498405,0.00001708462,0.0003092573,0.0001498843,0.0001177651,0.00008626885,0.0001356755,0.0004810951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002684123,"about_ca_system_score_gemma":0.00002908999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003470067,"about_ca_topic_score_gemma":0.000002797728,"domain_scores_codex":[0.999067,0.00004205688,0.0001070857,0.0001704401,0.0003920622,0.0002213334],"domain_scores_gemma":[0.9992473,0.000169697,0.00001858614,0.0002256593,0.0002275336,0.0001112592],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001173951,0.000009886163,0.9715173,0.00004948412,0.00004469671,0.000001023346,0.0001157241,0.000001307291,0.02275131,0.001246898,0.001144357,0.003106222],"study_design_scores_gemma":[0.0003839964,0.0001260316,0.9954417,0.00007112393,0.00001401964,0.000002742481,0.0003273883,0.0001978446,0.001486727,0.0002446581,0.001648974,0.00005480163],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9792668,0.00007883424,0.0001011388,0.007546145,0.00002058257,0.0006865629,6.488793e-7,0.00004227965,0.01225705],"genre_scores_gemma":[0.9960104,0.0001755736,0.001946957,0.00002292939,0.0001606878,0.00002054745,0.00000385496,0.00001037649,0.001648677],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02392434,"threshold_uncertainty_score":0.6183665,"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."}}