{"id":"W2145842552","doi":"10.1161/circimaging.112.973222","title":"Characterizing Myocardial Edema and Hemorrhage Using Quantitative T2 and T2* Mapping at Multiple Time Intervals Post ST-Segment Elevation Myocardial Infarction","year":2012,"lang":"en","type":"article","venue":"Circulation Cardiovascular Imaging","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":119,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto East General Hospital; St. Michael's Hospital","funders":"Canadian Institutes of Health Research; Ontario Research Foundation","keywords":"Medicine; Edema; Myocardial infarction; Percutaneous coronary intervention; Internal medicine; Cardiology; Magnetic resonance imaging; ST segment; Radiology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000449336,0.0002276831,0.0001878105,0.0004597301,0.0001317169,0.0003658548,0.0001694713,0.0002633538,0.0006035802],"category_scores_gemma":[0.0009882762,0.00009353686,0.0001147079,0.000203656,0.0001753698,0.0003442536,0.000184737,0.0001888581,0.0001230049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001321566,"about_ca_system_score_gemma":0.00009867028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003776291,"about_ca_topic_score_gemma":0.0007316369,"domain_scores_codex":[0.9998974,0.00003002493,0.00001321844,0.00002172201,0.00001987572,0.00001776752],"domain_scores_gemma":[0.9993704,0.0001332884,0.0002724798,0.0000382033,0.00009164529,0.00009408811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005712281,0.0003098821,0.8873224,0.0001166234,0.0001519281,0.0005704801,0.0004117139,0.0009795408,0.07335879,0.00007953799,0.000292117,0.03069465],"study_design_scores_gemma":[0.000051786,0.001453954,0.9840229,0.00001008088,0.00006988434,0.001159225,0.000244692,0.002894793,0.009702804,0.0001357744,0.0002297654,0.00002431111],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989254,0.0001038844,0.0007162442,0.00001241031,0.00000226624,0.000008357456,0.00006718976,0.000009069657,0.0001552118],"genre_scores_gemma":[0.9988789,0.00006015068,0.0008220828,0.00001087702,0.00001113297,0.00001673361,0.0000924359,0.000003058429,0.0001047113],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006035802,"threshold_uncertainty_score":0.002376318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02455895614966027,"score_gpt":0.2602783459500114,"score_spread":0.2357193898003511,"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."}}