{"id":"W1970044550","doi":"10.1111/j.1524-6175.2007.07284.x","title":"Identifying Which Treated Hypertensive Patients Without Known Coronary Artery Disease Should Be Tested for the Presence of Myocardial Ischemia by Perfusion Imaging","year":2007,"lang":"en","type":"article","venue":"Journal of Clinical Hypertension","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre hospitalier de l'Université Laval; Hôpital Saint-François d'Assise","funders":"","keywords":"Medicine; Internal medicine; Cardiology; Coronary artery disease; Myocardial perfusion imaging; Microalbuminuria; Odds ratio; Diabetes mellitus; Dipyridamole; Dyslipidemia; Subclinical infection; Perfusion; Myocardial infarction; Confidence interval; Ischemia; Disease","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002040521,0.0002418931,0.001064478,0.000125153,0.0001559587,0.00002913398,0.0001675464,0.0001502118,0.000008340157],"category_scores_gemma":[0.01754067,0.0001487231,0.0007284423,0.0002376094,0.0002244007,0.0002006142,0.00009726871,0.0006526956,0.000002436338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004274507,"about_ca_system_score_gemma":0.0002463599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001852635,"about_ca_topic_score_gemma":0.000001616216,"domain_scores_codex":[0.9966803,0.0001329987,0.00165338,0.0003050587,0.0008804703,0.0003478169],"domain_scores_gemma":[0.9884409,0.006323894,0.0008629023,0.0004141299,0.003465967,0.0004922224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005838954,0.0008500934,0.9066351,0.00005978284,0.0002092754,0.000261791,0.00006511416,0.00001401817,0.01392057,0.000001183898,0.0457842,0.02635992],"study_design_scores_gemma":[0.008858126,0.0006935563,0.9759379,0.0009904952,0.002507759,0.0004419229,0.0003093115,0.003811989,0.002459935,0.00002336824,0.003757189,0.0002084373],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901072,0.002592652,0.001520703,0.00344024,0.001628824,0.0005666272,0.00004108168,0.00002214095,0.00008057114],"genre_scores_gemma":[0.9948586,0.0005243191,0.0007507248,0.002868863,0.000835405,0.000003295667,0.00004863565,0.00004339869,0.000066722],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06930282,"threshold_uncertainty_score":0.990735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06918967361568779,"score_gpt":0.3704097871901041,"score_spread":0.3012201135744163,"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."}}