{"id":"W1987466684","doi":"10.1161/strokeaha.115.008714","title":"Atrial Premature Beats Predict Atrial Fibrillation in Cryptogenic Stroke","year":2015,"lang":"en","type":"article","venue":"Stroke","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":199,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cégep de Lévis; Thunder Bay Regional Health Sciences Centre; Kingston General Hospital; Grey Nuns Community Hospital; Vancouver Hospital and Health Sciences Centre; Fleming College; London Health Sciences Centre; University Health Network; Health Sciences Centre; Ottawa Hospital; Hôpital de l'Enfant-Jésus; Montreal General Hospital; Population Health Research Institute; St. Michael's Hospital; Sunnybrook Health Science Centre; Heart and Stroke Foundation; Hamilton Health Sciences; Island Health; University of Toronto","funders":"","keywords":"Medicine; Atrial fibrillation; Premature atrial contraction; Cardiology; Internal medicine; Stroke (engine)","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":[0.0004745534,0.0002127574,0.0004552923,0.0002849139,0.00004721255,0.00004392301,0.00009304911,0.0002210402,0.0001597199],"category_scores_gemma":[0.0005805947,0.000188075,0.0005162973,0.0002729347,0.00003816014,0.0002135784,0.00008202058,0.0001992339,0.0001336372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001689098,"about_ca_system_score_gemma":0.0001749877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003810518,"about_ca_topic_score_gemma":0.00003396783,"domain_scores_codex":[0.9981014,0.0000905108,0.0004997737,0.0003312951,0.0006420491,0.0003350201],"domain_scores_gemma":[0.9990908,0.0001133904,0.0001555768,0.0003231556,0.0001031513,0.0002139102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00389541,0.00000358388,0.9814769,0.00005024061,0.0002326368,0.00002521325,0.0002972763,0.003038362,0.000587152,0.0006819963,0.00401623,0.005694991],"study_design_scores_gemma":[0.05980832,0.00199298,0.5955472,0.0002255937,0.0013897,0.00005028126,0.000863568,0.007592687,0.001081531,0.001400178,0.3290489,0.0009990962],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9828604,0.001361232,0.0002224021,0.002225735,0.00221847,0.001421548,0.00006572025,0.0002042157,0.009420287],"genre_scores_gemma":[0.9774556,0.00007251503,0.001242583,0.00004923106,0.01114746,9.987024e-7,0.0001496708,0.0000315103,0.009850447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3859297,"threshold_uncertainty_score":0.7669476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05651102758954977,"score_gpt":0.3246693167986485,"score_spread":0.2681582892090987,"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."}}