{"id":"W4318150376","doi":"10.1136/heartjnl-2022-321211","title":"Cost-effectiveness of rapid assessment of potential ischaemic heart disease with CT coronary angiography","year":2023,"lang":"en","type":"article","venue":"Heart","topic":"Coronary Interventions and Diagnostics","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Population and Public Health","funders":"Health Technology Assessment Programme; British Heart Foundation; National Institute for Health and Care Research","keywords":"Medicine; Coronary angiography; Quality-adjusted life year; Cost effectiveness; Coronary heart disease; Emergency medicine; Quality of life (healthcare); Internal medicine; Cardiology; Myocardial infarction","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":[0.01072425,0.001505059,0.002153204,0.001335059,0.0001961458,0.002133384,0.001054802,0.001914287,0.004316099],"category_scores_gemma":[0.03959445,0.0005311896,0.004850551,0.0009772447,0.001027472,0.002275856,0.001703811,0.001797644,0.0002861854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002944948,"about_ca_system_score_gemma":0.001970905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003270407,"about_ca_topic_score_gemma":0.001706998,"domain_scores_codex":[0.9878203,0.009256536,0.0007142921,0.0007653646,0.0009763703,0.0004671023],"domain_scores_gemma":[0.983206,0.01252902,0.002778981,0.0004100909,0.0004319219,0.0006440318],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"observational","study_design_scores_codex":[0.350637,0.006661245,0.07175888,0.01111676,0.0218793,0.0005762313,0.0002726897,0.2903088,0.002649443,0.007679468,0.003158175,0.2333021],"study_design_scores_gemma":[0.1328721,0.1909875,0.1864541,0.007544471,0.0470873,0.005147415,0.0005543401,0.3907535,0.005236404,0.02363556,0.009006896,0.0007204049],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9423047,0.02988914,0.01292355,0.00274584,0.000389952,0.002606275,0.002769816,0.00009582506,0.006274974],"genre_scores_gemma":[0.9943785,0.001383868,0.002575059,0.0001990463,0.00005874474,0.0005398126,0.0005354777,0.000007460619,0.0003219746],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01072425,"threshold_uncertainty_score":0.05671591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03235739849058089,"score_gpt":0.3463635448214729,"score_spread":0.314006146330892,"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."}}