{"id":"W2757120648","doi":"10.1016/j.cjca.2017.07.377","title":"PREDICTIVE VALUE OF CMR MARKERS FOR EDEMA AND NECROSIS IN ACUTE MYOCARDITIS FOR FUNCTIONAL RECOVERY AT 1 YEAR","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Viral Infections and Immunology Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Calgary Laboratory Services","funders":"","keywords":"Medicine; Ejection fraction; Cardiology; Internal medicine; Myocarditis; Edema; Magnetic resonance imaging; Acute myocarditis; Cardiac magnetic resonance imaging; Radiology; 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":[0.001052939,0.0006358909,0.0006292666,0.0007375013,0.0004180211,0.0008633573,0.0005436621,0.001190859,0.002203705],"category_scores_gemma":[0.004523198,0.0002041948,0.0007099616,0.0004259893,0.0004617584,0.001080913,0.0005102255,0.001462074,0.0003132343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000376651,"about_ca_system_score_gemma":0.0005438536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001829315,"about_ca_topic_score_gemma":0.003141556,"domain_scores_codex":[0.9995381,0.00008583232,0.00004401631,0.00006817576,0.00008503103,0.0001789507],"domain_scores_gemma":[0.9970497,0.001105519,0.0007234446,0.0001253427,0.0002539512,0.0007419785],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001568693,0.000263717,0.9909667,0.00002130022,0.00009531205,0.0003137031,0.00005616213,0.000326608,0.0006321244,0.00007334164,0.0001946017,0.005487754],"study_design_scores_gemma":[0.00002200272,0.0006550981,0.9964175,0.0000328728,0.0001718594,0.0004299714,0.0002113664,0.001421041,0.0002400801,0.0001621906,0.0002193483,0.00001670777],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966881,0.001051625,0.0001720699,0.0002018525,0.00005484364,0.00001466043,0.0001747789,0.000009730626,0.001632348],"genre_scores_gemma":[0.9992466,0.0001696677,0.0001048116,0.00002971272,0.00006320249,0.00000701347,0.0001869161,0.000002181429,0.0001899306],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002203705,"threshold_uncertainty_score":0.007372141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02499955456115682,"score_gpt":0.2867344141136197,"score_spread":0.2617348595524629,"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."}}