{"id":"W2345371879","doi":"10.1111/ajt.13839","title":"Perfusion Cardiac Magnetic Resonance Imaging as a Rule-Out Test for Cardiac Allograft Vasculopathy","year":2016,"lang":"en","type":"article","venue":"American Journal of Transplantation","topic":"Transplantation: Methods and Outcomes","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; University of Toronto; Toronto General Hospital; University Health Network; Hospital for Sick Children; University of Ottawa","funders":"American Heart Association","keywords":"Medicine; Intravascular ultrasound; Cutoff; Receiver operating characteristic; Cardiology; Perfusion; Magnetic resonance imaging; Likelihood ratios in diagnostic testing; Internal medicine; Fractional flow reserve; Myocardial perfusion imaging; Ultrasound; Perfusion scanning; Radiology; Coronary angiography; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006780347,0.0002041228,0.0006172069,0.0002131696,0.00009141731,0.00002122085,0.0001094116,0.00003894119,0.00003296588],"category_scores_gemma":[0.000117902,0.0001358332,0.0005028445,0.0001758685,0.0001691775,0.0002163819,0.000003249191,0.0001356962,0.00001114926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006531473,"about_ca_system_score_gemma":0.000160188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004771114,"about_ca_topic_score_gemma":0.000004616782,"domain_scores_codex":[0.9983271,0.000160243,0.0005669949,0.0002275143,0.0004255208,0.00029259],"domain_scores_gemma":[0.9980219,0.001004424,0.0003090319,0.0001661182,0.0003066605,0.0001918533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001368026,0.0000605508,0.2643256,0.000102509,0.00004852226,0.00009019823,0.00171582,0.000001365652,0.1262027,0.00004724089,0.0000806745,0.6059568],"study_design_scores_gemma":[0.005990758,0.003268996,0.9468333,0.001448586,0.002101426,0.0008376662,0.001011653,0.00002181546,0.02523457,0.0002725439,0.01256863,0.0004100436],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9148524,0.005116832,0.07367314,0.003997359,0.0009706831,0.0006223843,0.0003130591,0.00005285694,0.0004013194],"genre_scores_gemma":[0.9271332,0.01205621,0.05948256,0.0004390916,0.0005084915,0.00002700017,0.00003191246,0.00005108058,0.0002704377],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6825078,"threshold_uncertainty_score":0.5539119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00873123526355414,"score_gpt":0.2857157704786549,"score_spread":0.2769845352151007,"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."}}