{"id":"W4401595488","doi":"10.1007/s00109-024-02478-w","title":"β-Adrenergic blockade attenuates adverse adipose tissue responses after burn","year":2024,"lang":"en","type":"article","venue":"Journal of Molecular Medicine","topic":"Burn Injury Management and Outcomes","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Sunnybrook Health Science Centre; Hamilton Health Sciences; University of Toronto; McMaster University; Sunnybrook Hospital; Population Health Research Institute","funders":"National Institute of General Medical Sciences; Institute of Nutrition, Metabolism and Diabetes; National Institute on Aging; Canadian Institutes of Health Research; Foundation for the National Institutes of Health","keywords":"Adipose tissue; Lipolysis; Endocrinology; Internal medicine; White adipose tissue; Burn injury; Medicine; Propranolol; Brown adipose tissue; Surgery","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008644647,0.0002389292,0.0005721281,0.0007189207,0.00003076164,0.00001933946,0.000161381,0.0000990172,0.001362318],"category_scores_gemma":[0.0003561495,0.0001542892,0.0002365207,0.0004260319,0.0001513362,0.0001299484,0.00005312976,0.0004604087,0.0000841699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000750122,"about_ca_system_score_gemma":0.0001111907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009536355,"about_ca_topic_score_gemma":0.00000142841,"domain_scores_codex":[0.9979447,0.0001035476,0.0006986949,0.0002078829,0.0007648298,0.000280339],"domain_scores_gemma":[0.9989445,0.0001280093,0.0001630011,0.0002869759,0.0001951366,0.0002823506],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005790832,0.0003194596,0.00894529,0.001416539,0.002975729,0.1416192,0.001853077,0.00004588975,0.7384723,0.00144194,0.05053491,0.04658478],"study_design_scores_gemma":[0.008429114,0.006911128,0.04757726,0.007944194,0.005967482,0.008461053,0.001048156,0.0002502412,0.1116981,0.001514185,0.7995262,0.0006728991],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9169555,0.04751351,0.0009510687,0.03035041,0.001378186,0.000213871,0.000002789456,0.00006105235,0.002573667],"genre_scores_gemma":[0.9856019,0.0007924078,0.0008055904,0.002647421,0.001247821,0.000004850401,0.000005353612,0.00004760003,0.008847062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7489913,"threshold_uncertainty_score":0.9995506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01248804126614846,"score_gpt":0.2996782169549171,"score_spread":0.2871901756887687,"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."}}