{"id":"W2952093075","doi":"10.1161/strokeaha.119.025384","title":"Left Atrial Volume Index Is Associated With Cardioembolic Stroke and Atrial Fibrillation Detection After Embolic Stroke of Undetermined Source","year":2019,"lang":"en","type":"article","venue":"Stroke","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":152,"is_retracted":false,"has_abstract":true,"ca_institutions":"Columbia College","funders":"","keywords":"Medicine; Atrial fibrillation; Stroke (engine); Cardiology; Internal medicine; Embolic stroke; Odds ratio; Univariate analysis; Prospective cohort study; Logistic regression; Ischemic stroke; Multivariate analysis; Ischemia","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003005842,0.0002960638,0.0008212972,0.0003490251,0.00007841593,0.00005336726,0.00006760116,0.0002550197,0.0003793414],"category_scores_gemma":[0.0001458789,0.0002597705,0.0005289403,0.0001946741,0.00008629869,0.0002281464,0.00007932536,0.0001862493,0.00004843193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001148488,"about_ca_system_score_gemma":0.0000809963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001170304,"about_ca_topic_score_gemma":0.0000849867,"domain_scores_codex":[0.9979197,0.0001063044,0.0005256979,0.0004283694,0.0006641936,0.0003556795],"domain_scores_gemma":[0.9988114,0.0001469507,0.0003767815,0.0003653752,0.0001657543,0.0001337509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003101163,0.000002178759,0.9825608,0.00006319502,0.0008088794,0.000003613974,0.0002955823,0.000468482,0.003161477,0.000006078634,0.00003986916,0.00948865],"study_design_scores_gemma":[0.01397192,0.001370836,0.9551609,0.0001000342,0.001273464,0.00001961126,0.0002924597,0.007388676,0.001964342,0.00001306683,0.01801875,0.0004259225],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957321,0.0002010563,0.0006790825,0.0002368796,0.0005216905,0.001078431,0.0001196644,0.0001054275,0.00132565],"genre_scores_gemma":[0.9648049,0.00002933566,0.00007112054,0.00003952263,0.002345613,8.706638e-7,0.00004204913,0.00004828565,0.0326183],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03129265,"threshold_uncertainty_score":0.9999855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0135718603127383,"score_gpt":0.2551252122836654,"score_spread":0.2415533519709271,"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."}}