{"id":"W4225292370","doi":"10.1096/fasebj.2022.36.s1.r2405","title":"Unravelling the Effects of Chronic Corticosterone Exposure in Brown Adipose Tissue Whitening","year":2022,"lang":"en","type":"article","venue":"The FASEB Journal","topic":"Dyeing and Modifying Textile Fibers","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"NOSM University; Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Brown adipose tissue; Corticosterone; Adipose tissue; Endocrinology; Internal medicine; Chemistry; Biology; Physiology; Medicine; Hormone","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":{"nature":"Retraction","reason":"Error by Journal/Publisher;","date":"5/27/2022 0:00","openalex_flagged":false},"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000530995,0.0001111619,0.0001496527,0.00008640935,0.0002700762,0.0000372974,0.0003638103,0.0000247058,0.00007339162],"category_scores_gemma":[0.00003197214,0.00007463328,0.00005407499,0.0001999506,0.00004765263,0.00005269095,0.00007350239,0.0007761769,0.00000509927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001669354,"about_ca_system_score_gemma":0.00003813621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001546596,"about_ca_topic_score_gemma":0.000008932522,"domain_scores_codex":[0.9989962,0.0001486628,0.000261266,0.00007546375,0.0002471899,0.0002712308],"domain_scores_gemma":[0.9994286,0.0002148265,0.00008230479,0.0002157998,0.00001379791,0.00004471969],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002295771,0.00002996742,0.0003636803,0.0001123288,0.00009003437,0.00009954212,0.007062016,0.5891937,0.3682821,0.00004023546,0.0005829771,0.03412043],"study_design_scores_gemma":[0.007963945,0.003438725,0.01150602,0.002040309,0.000587795,0.004200136,0.005284455,0.2838061,0.6647052,0.001421425,0.01358658,0.001459355],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904839,0.005377107,0.002612836,0.0001011616,0.001032519,0.0001413649,0.000002648216,0.00004490218,0.0002035764],"genre_scores_gemma":[0.9993517,0.0001367749,0.00006476265,0.00003707467,0.0001543992,0.00001359708,0.000001398525,0.00002911809,0.0002111251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3053876,"threshold_uncertainty_score":0.3372145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009059152327792521,"score_gpt":0.2079626023201424,"score_spread":0.1989034499923498,"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."}}