{"id":"W2617636273","doi":"10.1161/circoutcomes.10.suppl_3.152","title":"Abstract 152: Adherence to Rivaroxaban versus Apixaban Among Patients With Atrial Fibrillation: Analysis of Overall Population and Subgroups of Prior Oral Anticoagulant Users","year":2017,"lang":"en","type":"article","venue":"Circulation Cardiovascular Quality and Outcomes","topic":"Medication Adherence and Compliance","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Group for Research in Decision Analysis","funders":"","keywords":"Medicine; Apixaban; Rivaroxaban; Atrial fibrillation; Internal medicine; Propensity score matching; Population; Dabigatran; Comorbidity; Warfarin","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":[0.001913846,0.0002964595,0.0007256717,0.001064714,0.0003408021,0.0008927721,0.0007181044,0.0006642346,0.002662116],"category_scores_gemma":[0.004245271,0.0002459893,0.002226731,0.001483177,0.0002769394,0.0006370616,0.0007545128,0.0007391234,0.0003813877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003893085,"about_ca_system_score_gemma":0.0003721948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00290939,"about_ca_topic_score_gemma":0.002667397,"domain_scores_codex":[0.9979059,0.0006081357,0.0003918986,0.0005144181,0.0003816057,0.000198189],"domain_scores_gemma":[0.9972145,0.0004812501,0.001421665,0.0002746285,0.0002384051,0.0003696073],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001296023,0.0001365081,0.9951729,0.00003317073,0.0007567128,0.00002845535,0.00006066862,0.0001089013,0.0001462438,0.00002182632,0.0003984282,0.001840295],"study_design_scores_gemma":[0.0001254895,0.0006641801,0.9975818,0.00001202434,0.0001949368,0.00009953447,0.00009477793,0.0008911059,0.00006005104,0.00003486442,0.0002349847,0.00000627515],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980053,0.0001545229,0.00008695877,0.00004958827,0.000009551476,0.00003269293,0.001352507,0.000005823125,0.0003031983],"genre_scores_gemma":[0.9979773,0.00004425604,0.0001114666,0.00004949182,0.0000214174,0.00005384119,0.001561571,0.000003277309,0.0001773471],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00290939,"threshold_uncertainty_score":0.01012152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08413319176154846,"score_gpt":0.3509575844129971,"score_spread":0.2668243926514486,"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."}}