{"id":"W7047423932","doi":"","title":"Femoral Plaque Quantification by Ultrasound for the Prediction of Obstructive Coronary Artery Disease in Symptomatic Men and Women","year":2018,"lang":"en","type":"dissertation","venue":"QSpace (Queen's University Library)","topic":"Lightning and Electromagnetic Phenomena","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Queen's University; Heart and Stroke Foundation of Canada","keywords":"Coronary artery disease; Disease; Arterial disease; Cardiac Ultrasound; Femoral artery; Population; Risk factor","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.003478259,0.0005796007,0.0006756171,0.001611935,0.0002834123,0.0007919812,0.0004057329,0.0005819494,0.0008636967],"category_scores_gemma":[0.006638188,0.0005255588,0.0004491596,0.0007007659,0.0002641928,0.0004505017,0.0004487075,0.0005104827,0.0003732985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001724603,"about_ca_system_score_gemma":0.0002767837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001383685,"about_ca_topic_score_gemma":0.003531126,"domain_scores_codex":[0.9992082,0.0003878468,0.00007474613,0.0001017929,0.0001844836,0.00004295319],"domain_scores_gemma":[0.9983215,0.0007613102,0.0004055447,0.0001037405,0.0002506557,0.0001572029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006047983,0.00005696243,0.9795221,0.00006509726,0.0001119194,0.00006565358,0.0001451553,0.0001133021,0.0008589636,0.00004510115,0.0002317084,0.01817923],"study_design_scores_gemma":[0.00005416376,0.0006384733,0.9948211,0.00007352838,0.0001892209,0.0006042693,0.0001837352,0.002389266,0.0003529546,0.0001644755,0.0005125042,0.00001640035],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9872195,0.00866864,0.001809528,0.0001776119,0.00006127737,0.00008379348,0.0002618076,0.00005311882,0.001664629],"genre_scores_gemma":[0.995097,0.001409021,0.002840363,0.00007162807,0.00006749549,0.00005043299,0.0001589911,0.000004512585,0.0003006397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003478259,"threshold_uncertainty_score":0.01839501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00396616483451616,"score_gpt":0.1748943628258471,"score_spread":0.170928197991331,"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."}}