{"id":"W4213081217","doi":"10.1093/jcag/gwab049.047","title":"A48 OPTIMIZATION OF TRYPTOPHAN-CONTAINING DIETS TO ACTIVATE THE ARYL HYDROCARBON RECEPTOR AND REDUCE SUSCEPTIBILITY TO COLITIS","year":2022,"lang":"en","type":"article","venue":"Journal of the Canadian Association of Gastroenterology","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Aryl hydrocarbon receptor; Colitis; Inflammation; Inflammatory bowel disease; Immune system; Downregulation and upregulation; Biology; Chemistry; Immunology; Internal medicine; Biochemistry; Medicine; Gene; Transcription factor","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001544108,0.000443855,0.0004108249,0.0004955704,0.0001670204,0.0004455663,0.0003044162,0.0003160278,0.00203227],"category_scores_gemma":[0.0001559135,0.0001339089,0.0003580717,0.0002956993,0.0001854127,0.0002151692,0.0002309751,0.000610243,0.000298516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000259938,"about_ca_system_score_gemma":0.0002942735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000671602,"about_ca_topic_score_gemma":0.001388679,"domain_scores_codex":[0.9998242,0.00002630007,0.00001984344,0.00003749376,0.0000493611,0.00004292474],"domain_scores_gemma":[0.9998394,0.00001267662,0.00005719455,0.00001066985,0.00003035075,0.00004960441],"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":[0.001365111,0.0005921532,0.0003324895,0.0001124652,0.00003230915,0.00002326875,0.0000101242,0.0001489736,0.993616,0.00004992689,0.00008863745,0.003628468],"study_design_scores_gemma":[0.0002282347,0.008122501,0.008374309,0.0000403859,0.0001716649,0.0001090244,0.000065992,0.001314521,0.9748355,0.0000889098,0.006626279,0.00002267076],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943346,0.0009736572,0.002685611,0.000079874,0.00005162176,0.0001035959,0.0008556144,0.00008736493,0.0008280468],"genre_scores_gemma":[0.9839004,0.001171093,0.009699076,0.0001351033,0.0000141106,0.0002551581,0.001205273,0.00005957665,0.003560169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00203227,"threshold_uncertainty_score":0.006798625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006938999273921471,"score_gpt":0.2291114667474708,"score_spread":0.2221724674735493,"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."}}