{"id":"W2105422895","doi":"10.1007/s10554-009-9451-4","title":"Contrast-enhanced cardiovascular magnetic resonance in the hyperacute phase of ST-elevation myocardial infarction","year":2009,"lang":"en","type":"article","venue":"International journal of cardiac imaging","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; Institut universitaire de cardiologie et de pneumologie de Québec","funders":"","keywords":"Medicine; Cardiology; Internal medicine; Percutaneous coronary intervention; Myocardial infarction; Unstable angina; Cardiac magnetic resonance imaging; Magnetic resonance imaging; Risk stratification; Cardiac magnetic resonance; 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":[],"consensus_categories":[],"category_scores_codex":[0.001263869,0.0001503853,0.0005285882,0.0003649126,0.00003085739,0.00005856751,0.0002072631,0.00003954602,0.000009204667],"category_scores_gemma":[0.0007628069,0.0001215307,0.0007990505,0.0002439619,0.00007484589,0.0003046655,0.00001714647,0.0003613581,0.000002655575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001495431,"about_ca_system_score_gemma":0.00016294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002519604,"about_ca_topic_score_gemma":2.443898e-7,"domain_scores_codex":[0.9975955,0.0001721548,0.0006658951,0.0001544918,0.001222038,0.000189901],"domain_scores_gemma":[0.9980597,0.0002529838,0.0002520148,0.0002383298,0.001135652,0.00006127261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001003312,0.0004306263,0.06376392,0.00001584026,0.0006821,0.0003525696,0.001308171,0.0005943343,0.02849533,0.0002725044,0.00318446,0.8998968],"study_design_scores_gemma":[0.008852996,0.000446627,0.9113716,0.0005210464,0.0009093665,0.001262051,0.0007079507,0.0005444505,0.007396269,0.0005568578,0.06719322,0.0002374895],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9306611,0.04815067,0.005227988,0.007001312,0.003387833,0.0004935943,0.00006876732,0.00002384998,0.004984842],"genre_scores_gemma":[0.9957929,0.001332472,0.0005007816,0.001065734,0.001260333,0.000004959339,0.00001826433,0.00001256762,0.00001195066],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8996593,"threshold_uncertainty_score":0.4955879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01002990282528802,"score_gpt":0.2945402576743336,"score_spread":0.2845103548490455,"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."}}