{"id":"W2809584583","doi":"10.21037/jtd.2018.06.53","title":"Interatrial block predicts atrial fibrillation in patients with carotid and coronary artery disease","year":2018,"lang":"en","type":"article","venue":"Journal of Thoracic Disease","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Queen's University","keywords":"Medicine; Atrial fibrillation; Cardiology; Internal medicine; Coronary artery disease; Carotid ultrasonography; Population; Common carotid artery; Hazard ratio; Carotid arteries; Confidence interval","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003794128,0.0002406491,0.0003316531,0.0004179671,0.0002977534,0.0004380623,0.0002263569,0.0005253622,0.001879347],"category_scores_gemma":[0.002117198,0.0002079261,0.0003080149,0.00049584,0.0002411967,0.0002976407,0.0002797031,0.0007716457,0.0002769291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001232321,"about_ca_system_score_gemma":0.0002077214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001087178,"about_ca_topic_score_gemma":0.001497612,"domain_scores_codex":[0.9997788,0.00004434418,0.00002585256,0.00004927598,0.00005633583,0.00004534238],"domain_scores_gemma":[0.9981298,0.0003998573,0.0008277686,0.00006873646,0.0001215492,0.0004522692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004827,0.00001345672,0.9995257,0.000002234968,0.000009764184,0.00005310677,0.000008748486,0.00001007416,0.00006767824,0.000003089697,0.00001625038,0.0002417209],"study_design_scores_gemma":[0.000005428582,0.00007210448,0.9991422,0.000003315591,0.00001777114,0.0005454778,0.00003554944,0.00009975786,0.00001879068,0.00001272269,0.00004561136,0.000001326085],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991626,0.0003344227,0.00004423848,0.00005411121,0.000009283152,0.000003149296,0.00006762366,0.000001703814,0.0003228869],"genre_scores_gemma":[0.9996312,0.0001037177,0.00003637073,0.00001721778,0.00002627527,0.00000255045,0.0001107694,8.504682e-7,0.00007115836],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001879347,"threshold_uncertainty_score":0.006286979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02141838789967213,"score_gpt":0.3132748096134285,"score_spread":0.2918564217137564,"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."}}