{"id":"W2523822476","doi":"10.1016/j.cjca.2016.07.128","title":"MYOCARDIAL STRAIN IMAGING BY CARDIAC MRI FOR DETECTION OF SUBCLINICAL MYOCARDIAL DYSFUNCTION IN BREAST CANCER PATIENTS RECEIVING CHEMOTHERAPY","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Public Health","funders":"","keywords":"Medicine; Cardiotoxicity; Breast cancer; Cardiology; Ejection fraction; Subclinical infection; Internal medicine; Magnetic resonance imaging; Cancer; Chemotherapy; Radiology; Cardiac magnetic resonance imaging; Heart failure","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004555488,0.0003970325,0.000449619,0.0009991166,0.0003460206,0.0006082499,0.0003812674,0.000752118,0.0009486674],"category_scores_gemma":[0.002951075,0.0002353821,0.000285956,0.0006405593,0.0003166648,0.0004811502,0.0002311941,0.0007389858,0.000180844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000365817,"about_ca_system_score_gemma":0.0005377316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003310975,"about_ca_topic_score_gemma":0.006346245,"domain_scores_codex":[0.9998035,0.00004552835,0.0000343548,0.0000217717,0.00004592663,0.00004902043],"domain_scores_gemma":[0.9992323,0.0002551485,0.0001976017,0.00001912539,0.0001153784,0.0001804387],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005695029,0.00009850832,0.9913128,0.00002525458,0.00001950698,0.001443788,0.00005868405,0.0000506212,0.001605258,0.00001929673,0.0001602658,0.004636451],"study_design_scores_gemma":[0.00004241776,0.0006616219,0.9919987,0.00005466114,0.0001374866,0.004073403,0.0004525934,0.001146261,0.0009367803,0.00006274873,0.0004233475,0.000009958644],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960342,0.002084551,0.00009104185,0.0003105054,0.00002736089,0.00002152528,0.00006776433,0.000004541442,0.001358641],"genre_scores_gemma":[0.998547,0.0008644996,0.0001914344,0.0001085411,0.00005952709,0.00001007442,0.00008278165,0.00000167568,0.0001344098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003310975,"threshold_uncertainty_score":0.006583393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008035002669442924,"score_gpt":0.2551781098731773,"score_spread":0.2471431072037344,"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."}}