{"id":"W3124562718","doi":"10.1007/s10554-020-02144-5","title":"Maximum plaque height in carotid ultrasound predicts cardiovascular disease outcomes: a population-based validation study of the American society of echocardiography’s grade II–III plaque characterization and protocol","year":2021,"lang":"en","type":"article","venue":"International journal of cardiac imaging","topic":"Cerebrovascular and Carotid Artery Diseases","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute for Clinical Evaluative Sciences; Queen's University","funders":"Canada Foundation for Innovation; Southeastern Ontario Academic Medical Organization; Government of Ontario; Faculty of Health Sciences, Queen's University; Heart and Stroke Foundation of Canada","keywords":"Medicine; Internal medicine; Cardiology; Odds ratio; Myocardial infarction; Confidence interval; Stroke (engine); Vulnerable plaque; Carotid endarterectomy; Unstable angina; Coronary artery disease; Population; Carotid arteries","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01073937,0.001680957,0.001224292,0.001187424,0.002441521,0.002185819,0.002549103,0.00242064,0.0025972],"category_scores_gemma":[0.01337355,0.001451055,0.002469403,0.001442319,0.001453949,0.001682134,0.001619203,0.002217173,0.001580499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001447567,"about_ca_system_score_gemma":0.003577498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00371765,"about_ca_topic_score_gemma":0.005873616,"domain_scores_codex":[0.9945826,0.001955412,0.0008446556,0.001100491,0.001092904,0.0004239144],"domain_scores_gemma":[0.9929975,0.001117395,0.001242297,0.001456765,0.002590668,0.000595306],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02073393,0.008274887,0.9355908,0.0002753244,0.001584481,0.0003278127,0.001767364,0.002746997,0.004890107,0.0009934908,0.006642011,0.01617288],"study_design_scores_gemma":[0.003196476,0.00477057,0.9788631,0.00009916735,0.0008844546,0.0004479469,0.0005055955,0.003938769,0.001635841,0.000666537,0.004863665,0.0001279603],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9613903,0.0002599732,0.0086355,0.0003200318,0.0001475722,0.01902195,0.00553421,0.0001388618,0.004551557],"genre_scores_gemma":[0.9327978,0.0002138721,0.01121814,0.0004449876,0.000101022,0.03964958,0.01238193,0.000124511,0.00306819],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01073937,"threshold_uncertainty_score":0.0567959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008765434256922033,"score_gpt":0.2663645276551909,"score_spread":0.2575990933982688,"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."}}