{"id":"W2129919607","doi":"10.1093/ehjci/jes210","title":"Detection of papillary muscle infarction by late gadolinium enhancement: incremental value of short-inversion time vs. standard imaging","year":2012,"lang":"en","type":"article","venue":"European Heart Journal - Cardiovascular Imaging","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Medicine; Myocardial infarction; Magnetic resonance imaging; Nuclear medicine; Infarction; Cardiology; Internal medicine; Gadolinium; Radiology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003778285,0.0002654062,0.0007012306,0.0002983974,0.0002186576,0.00004843335,0.00009717008,0.00003024443,0.0000542976],"category_scores_gemma":[0.0002697663,0.0002659812,0.001208481,0.0002621118,0.0001407403,0.0005262686,0.0001382014,0.0004976538,0.0000508395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002403631,"about_ca_system_score_gemma":0.00006116393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006183486,"about_ca_topic_score_gemma":5.574761e-8,"domain_scores_codex":[0.9967269,0.0006943894,0.0007203984,0.0002680357,0.001081157,0.0005090887],"domain_scores_gemma":[0.998559,0.00007992231,0.00020374,0.0004687776,0.0003649504,0.0003236398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002973888,0.000188495,0.1949457,0.0002218464,0.001175445,0.0001392277,0.000611114,0.0002874155,0.7350135,0.000001116379,0.008074702,0.05904404],"study_design_scores_gemma":[0.004936209,0.0003478482,0.3275456,0.001530798,0.003242062,0.004289356,0.0006430148,0.002111982,0.5192289,0.000008759732,0.1353623,0.000753197],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9527773,0.02668017,0.01560893,0.0002473075,0.001249523,0.0003327906,0.00003058066,0.00007732966,0.002996048],"genre_scores_gemma":[0.9968956,0.0008343899,0.001004464,0.0002816704,0.0008341272,0.000001496556,0.00003598568,0.00008317616,0.00002906118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2157846,"threshold_uncertainty_score":0.9999793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01048210081949958,"score_gpt":0.2459880691985683,"score_spread":0.2355059683790688,"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."}}