{"id":"W4402407314","doi":"10.1080/13696998.2024.2399438","title":"Clinical and economic impact of first-line or drug-naïve catheter ablation and delayed second-line catheter ablation for atrial fibrillation using a patient-level simulation model","year":2024,"lang":"en","type":"article","venue":"Journal of Medical Economics","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"EVERSANA (Canada)","funders":"","keywords":"Medicine; Atrial fibrillation; Ablation; Catheter ablation; Catheter; Cardiology; Internal medicine; Drug; Surgery; Anesthesia; Pharmacology","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":[0.001405219,0.0001790109,0.0006377787,0.0002853982,0.00005855968,0.00005895568,0.00005179969,0.0002444003,0.0001411987],"category_scores_gemma":[0.000513706,0.0001336287,0.0005342696,0.00005457671,0.00008280917,0.0004654126,0.00004659732,0.0001794707,0.000001352862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002509053,"about_ca_system_score_gemma":0.0004885108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003520704,"about_ca_topic_score_gemma":0.00008695396,"domain_scores_codex":[0.9977401,0.00004781145,0.001645353,0.0002295171,0.0001839494,0.0001532407],"domain_scores_gemma":[0.997919,0.0008941409,0.0007290554,0.0001150238,0.0001226815,0.0002201155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003426297,0.00001605808,0.04197375,0.0002258735,0.0008334297,0.000003949046,0.0006289211,0.8967437,0.00002026281,0.0001742553,0.0001433827,0.05581015],"study_design_scores_gemma":[0.003891962,0.001133629,0.00546733,0.0001611276,0.0004710228,0.00004860086,0.00003476645,0.9867811,0.00001466303,0.00108197,0.000784751,0.0001291257],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9526435,0.0003791364,0.04472903,0.001104034,0.0005729195,0.0004733705,0.00007700528,0.0000109675,0.00001010709],"genre_scores_gemma":[0.9917471,0.0008533889,0.004449193,0.000054291,0.002752003,4.095345e-7,0.00004289126,0.00003115999,0.0000695596],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09003739,"threshold_uncertainty_score":0.5449218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1268574626344126,"score_gpt":0.4116573289862188,"score_spread":0.2847998663518062,"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."}}