{"id":"W2803026194","doi":"10.1111/pace.13356","title":"Atrial fibrillation symptom profiles associated with healthcare utilization: A latent class regression analysis","year":2018,"lang":"en","type":"article","venue":"Pacing and Clinical Electrophysiology","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Institute of Nursing Research; National Heart, Lung, and Blood Institute","keywords":"Medicine; Atrial fibrillation; Poisson regression; Latent class model; Emergency department; Asymptomatic; Cluster (spacecraft); Emergency medicine; Internal medicine; Health care; Cross-sectional study; Pediatrics; Population; Psychiatry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009362451,0.0008233994,0.001002855,0.002238804,0.001094804,0.00252158,0.001382832,0.0009025465,0.005154667],"category_scores_gemma":[0.01461487,0.0005899483,0.003563882,0.002327762,0.0008446238,0.001013698,0.001789988,0.00241256,0.0007489856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001081128,"about_ca_system_score_gemma":0.001699587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01951328,"about_ca_topic_score_gemma":0.00758199,"domain_scores_codex":[0.9946417,0.003251213,0.0002716393,0.0007671184,0.0004250559,0.0006432455],"domain_scores_gemma":[0.987433,0.007916866,0.002282741,0.0009241244,0.0006795523,0.0007636925],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000267704,0.0002675565,0.9915938,0.0000230841,0.0004792636,0.00006770263,0.0002712388,0.002620444,0.0001151877,0.000300015,0.0006114012,0.003382553],"study_design_scores_gemma":[0.0001202699,0.0003963689,0.7511299,0.00008827695,0.0005143835,0.0003038869,0.001473157,0.2431916,0.0001647932,0.00172651,0.0008256469,0.00006521933],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908283,0.0001867826,0.006623167,0.00042036,0.00002749002,0.0001465771,0.001075911,0.00006116459,0.0006303028],"genre_scores_gemma":[0.9968485,0.0000663394,0.00173388,0.00002345518,0.00001612558,0.00009861898,0.0009091659,0.00001737531,0.0002863973],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01951328,"threshold_uncertainty_score":0.04951394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09613159132523263,"score_gpt":0.4081458423803641,"score_spread":0.3120142510551314,"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."}}