{"id":"W2054337186","doi":"10.1161/strokeaha.113.002585","title":"Comparison of Clinical Risk Stratification for Predicting Stroke and Thromboembolism in Atrial Fibrillation","year":2013,"lang":"en","type":"article","venue":"Stroke","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Atrial fibrillation; Hazard ratio; Odds ratio; Internal medicine; Cohort; Stroke (engine); Cardiology; Cohort study; Proportional hazards model; Confidence interval","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":[0.01055036,0.0008217366,0.000683734,0.001858152,0.0002662658,0.0009215939,0.0007162996,0.0008998931,0.0006544751],"category_scores_gemma":[0.02536751,0.0002086392,0.0009502763,0.0007154871,0.0003969061,0.0006699085,0.0005653891,0.0006374409,0.0001744164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005641394,"about_ca_system_score_gemma":0.0006405737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001398823,"about_ca_topic_score_gemma":0.001846355,"domain_scores_codex":[0.994951,0.00334394,0.0003136707,0.00047849,0.0007516771,0.000161157],"domain_scores_gemma":[0.987021,0.008114639,0.002128415,0.000617597,0.001358269,0.0007599893],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004614232,0.0001546201,0.9768931,0.00006274429,0.000748828,0.00002496524,0.00005347079,0.0012312,0.0001581778,0.0001055729,0.0002904902,0.0156627],"study_design_scores_gemma":[0.000939049,0.004210662,0.9642678,0.00008345821,0.0009162616,0.000278366,0.0001446201,0.02738728,0.0004710474,0.0007981882,0.0004665387,0.0000367683],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942111,0.00183121,0.002469064,0.000282663,0.00007031305,0.00009801786,0.000343245,0.00003285658,0.0006616203],"genre_scores_gemma":[0.9973526,0.0002447173,0.001701277,0.000048456,0.00005110497,0.00005365473,0.0004658289,0.000003628569,0.0000786821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01055036,"threshold_uncertainty_score":0.05579627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.118013684516732,"score_gpt":0.4316706977449274,"score_spread":0.3136570132281954,"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."}}