{"id":"W2034399712","doi":"10.1016/s1098-3015(10)73802-x","title":"PCV40 COST-EFFECTIVENESS ANALYSIS OF THE INSERTABLE CARDIAC MONITOR FOR DETECTING RECURRENT ATRIAL FIBRILLATION (AF) FOLLOWING RADIOFREQUENCY CATHETER ABLATION (RCA): A CANADIAN PERSPECTIVE","year":2009,"lang":"en","type":"article","venue":"Value in Health","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Atrial fibrillation; Cardiology; Medicine; Internal medicine; Radiofrequency catheter ablation; Catheter ablation; Perspective (graphical); Catheter; Ablation; Radiofrequency ablation; Surgery; Computer science; Artificial intelligence","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":[0.003003293,0.001309049,0.001533055,0.002483502,0.0008350994,0.002958084,0.001900661,0.001677685,0.006244578],"category_scores_gemma":[0.01282037,0.0005568949,0.003778255,0.004018032,0.000765842,0.0007481741,0.0006154976,0.001893713,0.0002233618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05596545,"about_ca_system_score_gemma":0.04829325,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9381697,"about_ca_topic_score_gemma":0.9315694,"domain_scores_codex":[0.9955996,0.001498066,0.0001956431,0.0003094991,0.001759749,0.000637404],"domain_scores_gemma":[0.9953499,0.002001885,0.0004462365,0.00006910727,0.001517942,0.0006149029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0349994,0.001546554,0.2769526,0.006467045,0.01703337,0.002037813,0.0006882135,0.2363171,0.004405856,0.03396984,0.04324914,0.342333],"study_design_scores_gemma":[0.007465102,0.00839546,0.722189,0.002064852,0.02474022,0.001915104,0.001529696,0.1885339,0.001673905,0.006791283,0.03403119,0.0006703094],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7724681,0.07526544,0.007577208,0.02979637,0.0006110273,0.001459108,0.03956707,0.0001475578,0.0731081],"genre_scores_gemma":[0.9796587,0.009530021,0.00336769,0.001257289,0.0001977887,0.00009850736,0.00368244,0.00002054334,0.002186954],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06183028,"threshold_uncertainty_score":0.4060596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03712866215844075,"score_gpt":0.3455290705427628,"score_spread":0.3084004083843221,"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."}}