{"id":"W2091491646","doi":"10.1007/s10554-011-9820-7","title":"Factors in the technical quality of gadolinium enhanced magnetic resonance angiography for pulmonary embolism in PIOPED III","year":2011,"lang":"en","type":"article","venue":"International journal of cardiac imaging","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"NIH Clinical Center; National Heart, Lung, and Blood Institute; U.S. Department of Health and Human Services","keywords":"Pulmonary embolism; Gadolinium; Medicine; Radiology; Magnetic resonance angiography; Magnetic resonance imaging; Angiography; Internal medicine; Chemistry","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":[0.00128464,0.0001197769,0.0005260965,0.0004915685,0.00001578005,0.0000138898,0.0003411154,0.00003632398,0.00002311817],"category_scores_gemma":[0.0001709384,0.00008528938,0.0005810773,0.0002089362,0.00008435892,0.0001475795,0.00005213439,0.0002037005,3.885309e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000627945,"about_ca_system_score_gemma":0.0000566772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001705683,"about_ca_topic_score_gemma":0.00001136365,"domain_scores_codex":[0.9982443,0.0001052066,0.0008042988,0.0001378333,0.0005291754,0.0001791293],"domain_scores_gemma":[0.9989075,0.0002185231,0.0003371183,0.0001605998,0.000334538,0.00004172385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001865485,0.003868832,0.8464461,0.0001699295,0.0004413898,0.0002047354,0.01017478,0.00002603912,0.02997819,0.006943924,0.001945305,0.09793528],"study_design_scores_gemma":[0.001012284,0.0001009831,0.9909766,0.0002815817,0.00007022363,0.00001458398,0.001186677,0.00001443562,0.003663099,0.0008723817,0.001723257,0.00008389437],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9851092,0.004660647,0.00077511,0.001036388,0.0008553243,0.0004906239,0.00001754136,0.000007324647,0.007047871],"genre_scores_gemma":[0.9981443,0.0005792532,0.0006950599,0.0003352397,0.0001941059,0.00002419866,0.000004695984,0.00001219554,0.0000109768],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1445305,"threshold_uncertainty_score":0.3478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03959000911736757,"score_gpt":0.3306474301404267,"score_spread":0.2910574210230592,"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."}}