{"id":"W37628320","doi":"","title":"High calcium scores in patients with a low Framingham risk of cardiovascular (CVS) disease: implications for more accurate CVS risk assessment in New Zealand.","year":2011,"lang":"en","type":"article","venue":"PubMed","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Framingham Risk Score; Guideline; Percutaneous coronary intervention; Coronary Calcium Score; Internal medicine; Myocardial infarction; Cardiology; Canadian Cardiovascular Society; Coronary artery disease; Risk assessment; TIMI; Stroke (engine); Conventional PCI; Coronary artery calcium; Disease; Angina; Pathology","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":[0.001734698,0.0003496397,0.0004887389,0.00088758,0.0003427272,0.001008792,0.0005404166,0.0005492184,0.001995174],"category_scores_gemma":[0.009802585,0.0002801733,0.0002751366,0.001478258,0.0006115924,0.00081523,0.0009006204,0.0006786893,0.0002809482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007487005,"about_ca_system_score_gemma":0.0009734018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05833044,"about_ca_topic_score_gemma":0.07233639,"domain_scores_codex":[0.9988913,0.0003319764,0.0002478537,0.0001974977,0.0002283466,0.0001030055],"domain_scores_gemma":[0.9956695,0.0006571618,0.002695977,0.0002275257,0.0003833719,0.000366509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007607685,0.00001324208,0.9970272,0.00001953102,0.000008501612,0.000109885,0.00007650729,0.00002369236,0.0000773757,0.00001263419,0.0002371258,0.002318123],"study_design_scores_gemma":[0.00001808921,0.00003188235,0.9992579,0.00001336054,0.00001108738,0.0002045186,0.00007959759,0.0001238207,0.00002610406,0.00002082323,0.0002100045,0.000002852667],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958016,0.000669,0.0002898593,0.0006543923,0.00002488302,0.0001050949,0.0010672,0.000008707873,0.001379117],"genre_scores_gemma":[0.9981133,0.0002882204,0.0006194421,0.0001175539,0.00003080067,0.00005054459,0.0006039711,0.000003371222,0.0001728769],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05833044,"threshold_uncertainty_score":0.1159819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01864698599516225,"score_gpt":0.2579065578983929,"score_spread":0.2392595719032307,"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."}}