{"id":"W2126166940","doi":"10.1016/j.jcct.2011.11.001","title":"Diagnostic performance of combined noninvasive coronary angiography and myocardial perfusion imaging using 320 row detector computed tomography: design and implementation of the CORE320 multicenter, multinational diagnostic study","year":2011,"lang":"en","type":"article","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":81,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto General Hospital","funders":"National Center for Research Resources; National Institutes of Health","keywords":"Medicine; Coronary artery disease; Myocardial perfusion imaging; Radiology; Perfusion; Single-photon emission computed tomography; Computed tomography angiography; Angiography; Fractional flow reserve; Perfusion scanning; Coronary angiography; 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":[0.02222066,0.002067929,0.001181053,0.0009758106,0.0008552938,0.001228399,0.001467028,0.001576148,0.0009353626],"category_scores_gemma":[0.01682417,0.001529813,0.000866248,0.001056918,0.002699163,0.001677359,0.002142148,0.001050357,0.0005569105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00261051,"about_ca_system_score_gemma":0.003475113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006288102,"about_ca_topic_score_gemma":0.008451219,"domain_scores_codex":[0.9844723,0.01091546,0.0006282463,0.001863256,0.001354302,0.00076642],"domain_scores_gemma":[0.9859092,0.005359376,0.001781102,0.002200322,0.00278212,0.001967886],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.1493768,0.01705958,0.8020318,0.00006174493,0.0005506296,0.0001289414,0.001456618,0.002201411,0.009754266,0.0002432794,0.0005872712,0.01654776],"study_design_scores_gemma":[0.009446722,0.05700471,0.917852,0.00001439418,0.0005744149,0.0002532036,0.0005875756,0.007678025,0.005324325,0.0001921792,0.0009659171,0.0001065255],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989335,0.0000274659,0.00033982,0.00002170143,0.000005933548,0.000321696,0.0001167244,0.000006936213,0.000226175],"genre_scores_gemma":[0.9932025,0.00003501102,0.00425614,0.0001013163,0.00003876095,0.001184638,0.0008863597,0.00003177009,0.0002635613],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02222066,"threshold_uncertainty_score":0.1175154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01460838672948767,"score_gpt":0.2395010285837458,"score_spread":0.2248926418542582,"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."}}