{"id":"W1566671938","doi":"10.1155/2015/232649","title":"Importance of Reference Muscle Selection in Quantitative Signal Intensity Analysis of T2-Weighted Images of Myocardial Edema Using a T2 Ratio Method","year":2015,"lang":"en","type":"article","venue":"BioMed Research International","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Libin Cardiovascular Institute of Alberta; Montreal Heart Institute; University of Saskatchewan; Université de Montréal; University of Calgary","funders":"","keywords":"Medicine; Edema; Cardiology; Myocardial infarction; Internal medicine; Magnetic resonance imaging; 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":[],"consensus_categories":[],"category_scores_codex":[0.002724953,0.00009049608,0.0005039867,0.001854489,0.0000209909,0.00001085675,0.0001246515,0.0000667822,0.00004952481],"category_scores_gemma":[0.003319933,0.00008282192,0.0001598489,0.002136754,0.0002916199,0.0001089702,0.00009009967,0.0002342616,0.000001405267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002635923,"about_ca_system_score_gemma":0.0005182194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002202959,"about_ca_topic_score_gemma":0.0000939149,"domain_scores_codex":[0.9975743,0.0003351945,0.0005237585,0.00024304,0.001134534,0.0001891946],"domain_scores_gemma":[0.9949026,0.0007498952,0.0002317168,0.000140276,0.003871348,0.0001041417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001520418,0.0004900661,0.5156335,0.00007075104,0.001690036,0.00002687038,0.00107323,0.00102179,0.4749034,0.0008943207,0.00141574,0.001259947],"study_design_scores_gemma":[0.001546753,0.0003656939,0.7477884,0.0001658138,0.0003194252,0.00001062581,0.001021361,0.1517731,0.09638748,0.0004016336,0.0001187898,0.0001008881],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9743145,0.0001343028,0.02360138,0.0003165935,0.0001651928,0.0002134113,0.0001686918,0.000009344936,0.00107657],"genre_scores_gemma":[0.9699051,0.00002118735,0.02981711,0.00001445636,0.00007850393,0.000008065199,0.000100334,0.000008017997,0.00004717008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3785159,"threshold_uncertainty_score":0.397451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1902926345216811,"score_gpt":0.4789258725938376,"score_spread":0.2886332380721565,"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."}}