{"id":"W4386295344","doi":"10.1016/j.ahj.2023.08.067","title":"The coronary microvascular angina cardiovascular magnetic resonance imaging trial: Rationale and design","year":2023,"lang":"en","type":"article","venue":"American Heart Journal","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Abbott Vascular; University of Glasgow; Chief Scientist Office; TherOx; British Heart Foundation; AstraZeneca","keywords":"Medicine; Cardiology; Internal medicine; Angina; Fractional flow reserve; Coronary artery disease; Myocardial perfusion imaging; Randomized controlled trial; Magnetic resonance imaging; Angiography; Radiology; Stress testing (software); Stress Echocardiography; Canadian Cardiovascular Society; Myocardial infarction; Coronary angiography","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":[0.01286308,0.004014804,0.005001762,0.0008417114,0.001068266,0.001932815,0.002207835,0.004896868,0.01432432],"category_scores_gemma":[0.0114586,0.001420608,0.002204136,0.001241499,0.002065959,0.001494227,0.001194771,0.003135914,0.002505942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008556813,"about_ca_system_score_gemma":0.003517607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007188795,"about_ca_topic_score_gemma":0.001570478,"domain_scores_codex":[0.9907172,0.006975639,0.0003659131,0.0008457183,0.000535647,0.0005598926],"domain_scores_gemma":[0.997613,0.0007885756,0.000470086,0.0003207393,0.0003580133,0.0004496857],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"not_applicable","study_design_scores_codex":[0.9236782,0.008811671,0.004976026,0.01505671,0.003864269,0.0004709352,0.0002399858,0.001509806,0.002150533,0.004567639,0.01298693,0.02168736],"study_design_scores_gemma":[0.9490708,0.02829874,0.003252007,0.00105201,0.002653964,0.000140803,0.00008075178,0.001788824,0.0002828229,0.002723346,0.01059408,0.00006181996],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.1013022,0.01713294,0.008436634,0.00729873,0.003872341,0.8453754,0.007712182,0.0003221086,0.008547512],"genre_scores_gemma":[0.1087272,0.003022362,0.0117,0.003923072,0.0008377613,0.8653372,0.0015599,0.00002680139,0.004865753],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.01432432,"threshold_uncertainty_score":0.06802732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02117791682524064,"score_gpt":0.2738503048232615,"score_spread":0.2526723879980209,"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."}}