{"id":"W2014549626","doi":"10.1186/1532-429x-12-s1-o77","title":"Predicting late myocardial recovery and outcomes in the early hours of ST-elevation myocardial infarction: traditional measures compared to microvascular perfusion, salvaged myocardium, and necrosis by cardiovascular magnetic resonance","year":2010,"lang":"en","type":"article","venue":"Journal of Cardiovascular Magnetic Resonance","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Heart Institute","funders":"","keywords":"Medicine; Angiology; Myocardial infarction; Cardiology; Magnetic resonance imaging; Perfusion; Internal medicine; Cardiac magnetic resonance; Infarction; Nuclear medicine; 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":[0.005007136,0.0005107771,0.002064807,0.0004422188,0.0002210499,0.000174805,0.0003279079,0.0002807452,0.00001275844],"category_scores_gemma":[0.001986679,0.0004226747,0.002392718,0.0006685456,0.0004447249,0.0002700685,0.0001085467,0.001195556,0.000002269272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009278589,"about_ca_system_score_gemma":0.0002425303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004998381,"about_ca_topic_score_gemma":0.00001824408,"domain_scores_codex":[0.9941501,0.0007889541,0.00124987,0.0006606559,0.002593454,0.0005569388],"domain_scores_gemma":[0.9967979,0.0006825915,0.000266032,0.001078951,0.000842475,0.0003320571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008250477,0.0002482061,0.6035255,0.0001392718,0.002220931,0.0002503015,0.001647133,0.0009100423,0.003652429,0.00001735836,0.00430073,0.3822631],"study_design_scores_gemma":[0.005216122,0.0007231157,0.8690976,0.0003213922,0.002408443,0.001111128,0.0001960584,0.00008384869,0.000200318,0.0000905463,0.1201933,0.000358167],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7541983,0.2432069,0.0001790709,0.0005402314,0.0007540939,0.0008241876,0.00009846817,0.00002081555,0.000177887],"genre_scores_gemma":[0.9795718,0.0172693,0.001651972,0.0004742688,0.0008333575,0.00006878525,0.00001715627,0.00007357342,0.00003975876],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3819049,"threshold_uncertainty_score":0.9998225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01086580174034776,"score_gpt":0.2156386515649291,"score_spread":0.2047728498245813,"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."}}