{"id":"W1983795688","doi":"10.1016/j.cardiores.2005.11.031","title":"Estrogen improves cardiac recovery after ischemia/reperfusion by decreasing tumor necrosis factor-α","year":2006,"lang":"en","type":"article","venue":"Cardiovascular Research","topic":"Cardiac Fibrosis and Remodeling","field":"Medicine","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Alberta Heritage Foundation for Medical Research; Fondation pour la Recherche Médicale","keywords":"Estrogen; Medicine; Ischemia; Internal medicine; Tumor necrosis factor α; Cardiology; Necrosis; Reperfusion injury; Cardiac ischemia; Tumor necrosis factor alpha; Endocrinology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002197619,0.0003465937,0.001010228,0.0002887715,0.0003370098,0.0002485459,0.0001823428,0.0002730159,0.00007409847],"category_scores_gemma":[0.0002740427,0.0002951061,0.003010607,0.0006140087,0.0002203848,0.0002064658,0.0003078385,0.0008232102,0.0001337782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004312556,"about_ca_system_score_gemma":0.0002901387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001666157,"about_ca_topic_score_gemma":0.000001995558,"domain_scores_codex":[0.9950525,0.0004008199,0.0004535118,0.0009490513,0.002078284,0.001065845],"domain_scores_gemma":[0.9974005,0.0001450431,0.00004380618,0.001406293,0.0006193211,0.0003850478],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006406297,0.0001435586,0.01369088,0.0003193181,0.001506614,0.0001302001,0.00005262078,0.00006149945,0.9281839,0.00001837954,0.01430479,0.04094763],"study_design_scores_gemma":[0.002598834,0.0003673718,0.02218339,0.0006597617,0.0009471642,0.0002632307,0.0002486291,0.0004868072,0.6783155,0.0001521579,0.2928474,0.0009297789],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.924601,0.07047142,0.0002452547,0.0001155263,0.0002534483,0.000855022,0.0001072452,0.0001074211,0.003243636],"genre_scores_gemma":[0.9945554,0.001427933,0.001159977,0.00005238887,0.001164353,0.000148952,0.0001857513,0.0001348306,0.001170408],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2785426,"threshold_uncertainty_score":0.9999501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02159746341985832,"score_gpt":0.2872790090060738,"score_spread":0.2656815455862155,"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."}}