{"id":"W2136095385","doi":"10.1016/j.jacc.2003.09.029","title":"Utility of myocardial perfusion imaging in patients with low-risk treadmill scores","year":2004,"lang":"en","type":"article","venue":"Journal of the American College of Cardiology","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":79,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Myocardial perfusion imaging; Internal medicine; Cardiology; Myocardial infarction; Angina; Perfusion; Treadmill; Diabetes mellitus; Perfusion scanning; Canadian Cardiovascular Society; Framingham Risk Score","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":[0.0009705631,0.0008501415,0.0009097669,0.001917813,0.0003909744,0.001472263,0.0007030044,0.001354687,0.001771676],"category_scores_gemma":[0.008747931,0.0002137069,0.0005695102,0.0008306127,0.0004720686,0.001152238,0.0004238019,0.001166007,0.0003692593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004101688,"about_ca_system_score_gemma":0.0005250398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00198385,"about_ca_topic_score_gemma":0.003373846,"domain_scores_codex":[0.9995265,0.0001578011,0.00007023029,0.00006081078,0.00008061592,0.0001040851],"domain_scores_gemma":[0.996077,0.001908314,0.0006204294,0.0001353227,0.0005110349,0.0007478124],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005803477,0.00008958709,0.9925131,0.00002481869,0.00004285534,0.001091166,0.00004542448,0.0001829748,0.0004551604,0.00008430845,0.0001859206,0.004704429],"study_design_scores_gemma":[0.00006085912,0.0008555914,0.9856044,0.00008461313,0.0002829806,0.005753248,0.0004718431,0.004875097,0.0008560367,0.0006236509,0.0005064027,0.00002538341],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993451,0.001978329,0.0003608138,0.0006700973,0.00004630694,0.00002286138,0.0001865415,0.00001730611,0.003266724],"genre_scores_gemma":[0.998965,0.0003464069,0.0002288874,0.00009523102,0.00009061004,0.000007749758,0.0001503143,0.000004227373,0.0001116175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00198385,"threshold_uncertainty_score":0.005926907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004357568548349632,"score_gpt":0.2326259291496371,"score_spread":0.2282683606012874,"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."}}