{"id":"W2897375560","doi":"10.1016/j.ebiom.2018.10.025","title":"Corrigendum to “Inflammatory cytokine profiles in visceral and subcutaneous adipose tissues of obese patients undergoing bariatric surgery reveal lack of correlation with obesity or diabetes” EBioMedicine 30C (2018) 237–247","year":2018,"lang":"en","type":"erratum","venue":"EBioMedicine","topic":"Adipokines, Inflammation, and Metabolic Diseases","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Centre Hospitalier Universitaire de Sherbrooke; Université de Sherbrooke","funders":"","keywords":"Adipose tissue; Medicine; Insulin resistance; Obesity; Inflammation; Internal medicine; Diabetes mellitus; Gastroenterology; Surgery; Pathology; Endocrinology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009216821,0.0009041936,0.002907684,0.00244665,0.000124742,0.0000164625,0.0002660329,0.0006648121,0.0003743966],"category_scores_gemma":[0.00172207,0.0006482875,0.0001727566,0.001784483,0.0009151486,0.0002132547,0.0001543661,0.0005922024,0.00002234576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003489395,"about_ca_system_score_gemma":0.001924573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004119308,"about_ca_topic_score_gemma":0.0006052418,"domain_scores_codex":[0.9942058,0.0002140357,0.002247064,0.0009713439,0.001524715,0.0008369802],"domain_scores_gemma":[0.995265,0.0004478351,0.001588695,0.0009087856,0.00105369,0.0007359591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005495286,0.001001605,0.5142536,0.0128178,0.0006676346,0.000491003,0.00181533,0.000005369107,0.0008124462,0.00001835994,0.4570053,0.005616339],"study_design_scores_gemma":[0.009522567,0.008619804,0.8972304,0.02279246,0.003044695,0.0001695525,0.0004092146,0.0002794713,0.0004971894,0.00007350635,0.0562204,0.001140777],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9784684,0.006359305,0.00006261729,0.0003721068,0.01004584,0.002949306,0.0004637099,0.0001197758,0.001158909],"genre_scores_gemma":[0.89742,0.004312585,0.001131508,0.0006528824,0.008869202,0.0001816061,0.01027426,0.0003947221,0.07676327],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4007849,"threshold_uncertainty_score":0.9995968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01883829228664126,"score_gpt":0.2569136648148546,"score_spread":0.2380753725282133,"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."}}