{"id":"W2933729269","doi":"10.1038/s41366-019-0340-1","title":"Aryl hydrocarbon receptor agonist indigo protects against obesity-related insulin resistance through modulation of intestinal and metabolic tissue immunity","year":2019,"lang":"en","type":"article","venue":"International Journal of Obesity","topic":"Adipokines, Inflammation, and Metabolic Diseases","field":"Medicine","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; University of Toronto; Discovery Centre; Canada Research Chairs; University Health Network","funders":"Canadian Institutes of Health Research; Canadian Liver Foundation; Chang Gung Medical Foundation; University of Toronto; Diabetes Canada","keywords":"Insulin resistance; Adipose tissue; Aryl hydrocarbon receptor; Immune system; Internal medicine; Endocrinology; Biology; Inflammation; Gut flora; Intestinal permeability; Insulin; Immunology; Medicine; Biochemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.000516992,0.0001922261,0.0005211896,0.0002549791,0.00006535824,0.00003354654,0.0002634326,0.0001090582,0.0001028886],"category_scores_gemma":[0.000666743,0.0001701183,0.0001358906,0.0002200648,0.0001301628,0.0005134227,0.00007183279,0.000367949,0.00001729523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009732412,"about_ca_system_score_gemma":0.0002884162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008870717,"about_ca_topic_score_gemma":0.00001355527,"domain_scores_codex":[0.9979533,0.0001013393,0.0008611473,0.0001843408,0.0007441073,0.0001557872],"domain_scores_gemma":[0.9974234,0.00009903247,0.001030753,0.0002131581,0.001103359,0.0001302776],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003501566,0.002657428,0.5921229,0.0006335279,0.001875167,0.000182156,0.004694417,0.0008038011,0.3643795,0.007800508,0.0003928471,0.02095616],"study_design_scores_gemma":[0.003261208,0.0002163684,0.9271321,0.0008762643,0.0001602078,0.0001582125,0.0001335923,0.0003033753,0.05933362,0.002391389,0.005841798,0.0001918463],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942818,0.00210291,0.0004320267,0.0003568108,0.000592678,0.0004227138,0.00002406264,0.00002188961,0.001765078],"genre_scores_gemma":[0.9956635,0.0007962642,0.002610066,0.00009493076,0.00029631,0.000003815343,0.00005690002,0.00001832814,0.0004599177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3350092,"threshold_uncertainty_score":0.6937224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009951372579119431,"score_gpt":0.2601699968620073,"score_spread":0.2502186242828879,"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."}}