{"id":"W2139408013","doi":"10.5430/ijdi.v1n2p23","title":"Relationship between myocardial edema and left ventricular wall thickness in acute myocardial ischemia: A Magnetic Resonance Imaging study","year":2014,"lang":"en","type":"article","venue":"International Journal of Diagnostic Imaging","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Montreal Heart Institute; Libin Cardiovascular Institute of Alberta; St. Michael's Hospital; University of Calgary","funders":"","keywords":"Medicine; Edema; Cardiology; Magnetic resonance imaging; Internal medicine; Ischemia; Myocardial ischemia; Diastole; Cardiac magnetic resonance; Nuclear medicine; Radiology; Blood pressure","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003945414,0.0002187227,0.000259096,0.000253982,0.00009031579,0.0002274934,0.0001414828,0.0003814138,0.0009100318],"category_scores_gemma":[0.0005143143,0.0001563127,0.0001348698,0.00008841819,0.000297498,0.00036308,0.0001787041,0.0003724512,0.0001850715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000123416,"about_ca_system_score_gemma":0.00009644016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001267231,"about_ca_topic_score_gemma":0.0001871427,"domain_scores_codex":[0.9998877,0.00002195753,0.00001222549,0.00002480758,0.00002763917,0.00002563583],"domain_scores_gemma":[0.9995019,0.00006570062,0.0002353696,0.00002426712,0.00004684213,0.0001259445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.01058426,0.00177015,0.2473005,0.0002677049,0.0001930701,0.001661249,0.0001895186,0.000361631,0.7260445,0.0000898166,0.0001604878,0.01137708],"study_design_scores_gemma":[0.0001486455,0.00972899,0.9499097,0.00001650848,0.0001097966,0.003146571,0.000111731,0.001389735,0.03487395,0.00006148443,0.0004868518,0.00001605299],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992425,0.0003574949,0.0002667774,0.00001507687,0.000003247511,0.000008014598,0.0000131918,0.000003806968,0.00008988041],"genre_scores_gemma":[0.9989662,0.000183647,0.0004727567,0.00002320344,0.00002378892,0.00001492841,0.00007944576,0.000002410004,0.0002335526],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009100318,"threshold_uncertainty_score":0.003044426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009857371012040542,"score_gpt":0.2830165649266141,"score_spread":0.2731591939145736,"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."}}