{"id":"W2147922511","doi":"10.1080/10976640600572897","title":"T2 Fluctuations in Ischemic and Post-Ischemic Viable Porcine Myocardium in Vivo","year":2006,"lang":"en","type":"article","venue":"Journal of Cardiovascular Magnetic Resonance","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Sciences Centre; Women's College Hospital; University of Toronto; St. Michael's Hospital","funders":"","keywords":"Medicine; Stunning; Ischemia; Edema; Cardiology; Pathophysiology; In vivo; Internal medicine; Myocardial stunning; Ischemic preconditioning; Anesthesia","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":[0.0004889524,0.000153477,0.0005881869,0.0002369518,0.00002821476,0.00001271244,0.0001025146,0.00009774641,0.00003126107],"category_scores_gemma":[0.0001038137,0.0001387041,0.0003083195,0.0004408315,0.00007738851,0.0001253069,0.00003499369,0.0003436034,0.000001912463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009932859,"about_ca_system_score_gemma":0.0001026389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001182467,"about_ca_topic_score_gemma":0.000009188568,"domain_scores_codex":[0.9985374,0.00003226539,0.0005911287,0.0002162434,0.0003851046,0.0002378089],"domain_scores_gemma":[0.9991035,0.00003942117,0.0001190422,0.0003758077,0.0002849775,0.00007724391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007854236,0.00105014,0.03804522,0.0004362328,0.0002433275,0.001599276,0.0003652113,0.007798375,0.4459917,0.001159997,0.03416138,0.4683638],"study_design_scores_gemma":[0.002708987,0.0002124326,0.08225849,0.0003098696,0.0001825859,0.000820325,0.00006195298,0.0003454761,0.01295191,0.0004380037,0.8995383,0.0001716656],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6121038,0.3665695,0.005702144,0.001035057,0.00006907889,0.0006738368,0.00001048809,0.00002801841,0.01380815],"genre_scores_gemma":[0.9245517,0.02398664,0.0492455,0.0002627475,0.0005179825,0.00007474885,0.000007255968,0.00005198556,0.001301395],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8653769,"threshold_uncertainty_score":0.5656191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004719089154244877,"score_gpt":0.2303151638501635,"score_spread":0.2255960746959186,"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."}}