{"id":"W4403204593","doi":"10.1016/j.jacadv.2024.101299","title":"New Frontiers for Predicting Atrial Fibrillation and Stroke","year":2024,"lang":"en","type":"editorial","venue":"JACC Advances","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Emory University","keywords":"Atrial fibrillation; Stroke (engine); Cardiology; Internal medicine; Medicine; Engineering","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":[0.02262877,0.004872693,0.006155497,0.005022296,0.002522408,0.009116105,0.005245132,0.01882808,0.009558573],"category_scores_gemma":[0.06860729,0.001698046,0.004642637,0.002044273,0.00297813,0.007649106,0.002747244,0.04168552,0.006842889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003722177,"about_ca_system_score_gemma":0.00611281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003413291,"about_ca_topic_score_gemma":0.006440634,"domain_scores_codex":[0.9905844,0.002679056,0.001712649,0.001057346,0.003519702,0.0004468074],"domain_scores_gemma":[0.9121985,0.04887858,0.002614142,0.001313242,0.02882993,0.006165601],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001053468,0.00002259708,0.00008043469,0.0004902881,0.0001175731,0.000076034,0.0000213212,0.0000467447,0.00004186361,0.0006076681,0.9805267,0.0178635],"study_design_scores_gemma":[0.0005314014,0.0001301515,0.0009317753,0.0027968,0.0006292033,0.0003669619,0.000118947,0.0007374008,0.0001217131,0.004658852,0.9888932,0.00008358344],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00003629951,0.02396453,0.0001902686,0.05934275,0.9157082,0.00001880204,0.00007316637,0.00005762292,0.0006084552],"genre_scores_gemma":[0.0002828149,0.01330407,0.0001463574,0.01894212,0.965804,0.00002142377,0.00004146196,0.00002203585,0.001435664],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.02262877,"threshold_uncertainty_score":0.1196738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02064858292737118,"score_gpt":0.3375423725396575,"score_spread":0.3168937896122863,"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."}}