{"id":"W4400009890","doi":"10.14740/cr1655","title":"Association Between Major Adverse Cardiovascular Events and Left Ventricular Mass Index in Patients Who Have Undergone Coronary Computed Tomography Angiography: From the FU-CCTA Registry","year":2024,"lang":"en","type":"article","venue":"Cardiology Research","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Cardiology; Internal medicine; Computed tomography; Coronary angiography; Radiology; Computed tomography angiography; Angiography; Index (typography); Myocardial infarction","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":[0.0006361906,0.0003441722,0.0006631858,0.0009602755,0.0004924714,0.0005948007,0.0004427193,0.0004944481,0.001185467],"category_scores_gemma":[0.001848621,0.0003403575,0.0004662066,0.0009734222,0.000190539,0.0004088224,0.000411647,0.0005227555,0.0002309599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003623406,"about_ca_system_score_gemma":0.0003640849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006108984,"about_ca_topic_score_gemma":0.006504991,"domain_scores_codex":[0.9995255,0.00007042895,0.00005735884,0.0001286655,0.0001131585,0.0001049135],"domain_scores_gemma":[0.9982862,0.0002083051,0.000637984,0.0002162428,0.0002715414,0.0003796559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001027462,0.00001535085,0.9993647,0.000003549159,0.00002920721,0.00007520217,0.00001574333,0.000009950881,0.00007578418,0.000003536839,0.00007514332,0.0002290543],"study_design_scores_gemma":[0.0000110412,0.00004459593,0.9994873,0.000002198835,0.00003152476,0.0002015907,0.00003187693,0.00007030359,0.00002495679,0.000004673625,0.00008708175,0.000002723235],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988794,0.0001375174,0.00004655522,0.00001732633,0.000006144571,0.00001143075,0.0007137841,0.000003360092,0.0001844997],"genre_scores_gemma":[0.9985194,0.00007178886,0.00004732716,0.00002014852,0.00002212859,0.00001658738,0.001234132,0.000001712858,0.00006675765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006108984,"threshold_uncertainty_score":0.01214689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02004284596572204,"score_gpt":0.2918569858580783,"score_spread":0.2718141398923563,"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."}}