{"id":"W4413316120","doi":"10.2196/64326","title":"Conversational AI Phone Calls to Support Patients With Atrial Fibrillation: Randomized Controlled Trial","year":2025,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Randomized controlled trial; Medicine; Atrial fibrillation; Intervention (counseling); Phone; Quality of life (healthcare); Self-management; Physical therapy; Medical emergency; Internal medicine; Computer science; Nursing; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.002682056,0.001613945,0.004378009,0.0007294164,0.0009011753,0.001558425,0.001440948,0.003375961,0.01270046],"category_scores_gemma":[0.005668793,0.0007257434,0.002828222,0.0007967444,0.001199289,0.001680234,0.0007633217,0.003733699,0.001007611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009485462,"about_ca_system_score_gemma":0.001866275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001985037,"about_ca_topic_score_gemma":0.003330345,"domain_scores_codex":[0.998031,0.001069064,0.0002334239,0.0003107696,0.0001331743,0.0002226505],"domain_scores_gemma":[0.997638,0.00096129,0.00055678,0.0001306013,0.0001720289,0.0005413219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.978483,0.005254977,0.0002846408,0.002939777,0.001873667,0.00003546166,0.00005482942,0.0001046647,0.0003024668,0.00009751802,0.0007360454,0.009833014],"study_design_scores_gemma":[0.9854323,0.01281055,0.000460237,0.0001391102,0.000661969,0.000008102013,0.00002072172,0.0001065509,0.00004105981,0.00006913758,0.0002430593,0.000007192019],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9059131,0.03686757,0.00228451,0.004314533,0.005128792,0.03572436,0.002996318,0.0005458161,0.006224821],"genre_scores_gemma":[0.9248294,0.0106331,0.00414026,0.003341376,0.002035368,0.05009772,0.0009719734,0.00003093382,0.003919831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01270046,"threshold_uncertainty_score":0.04248732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01533717823788428,"score_gpt":0.3088201540452644,"score_spread":0.2934829758073801,"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."}}