{"id":"W4303856870","doi":"10.3390/microorganisms10101963","title":"Interactions between Medications and the Gut Microbiome in Inflammatory Bowel Disease","year":2022,"lang":"en","type":"article","venue":"Microorganisms","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Science Foundation Ireland","keywords":"Microbiome; Inflammatory bowel disease; Ulcerative colitis; Disease; Gut flora; Medicine; Confounding; Metagenomics; Biology; Internal medicine; Immunology; Bioinformatics; Genetics; Gene","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002686025,0.00009771065,0.00009281736,0.00006538755,0.0003363268,0.00002338515,0.0002070394,0.00003194025,0.0001436484],"category_scores_gemma":[0.00002005404,0.00008411233,0.00004141673,0.00009624299,0.0001693021,0.000003185953,0.000320168,0.0001927897,0.00001460282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003975738,"about_ca_system_score_gemma":0.0001522845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000466436,"about_ca_topic_score_gemma":0.0000679733,"domain_scores_codex":[0.9991866,0.0001377538,0.0002020357,0.000235223,0.00005573603,0.0001826658],"domain_scores_gemma":[0.9995375,0.00002274476,0.00006387933,0.0002738277,0.00001813102,0.00008393714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00005171391,0.00003865742,0.01810456,0.00001413938,0.00002536774,0.000002750224,0.0004010783,0.000004988724,0.9767134,0.000250369,0.004232462,0.0001605083],"study_design_scores_gemma":[0.003884984,0.00009162661,0.4973472,0.00001924173,0.00009144584,0.00008456668,0.00114455,0.00001332917,0.033144,0.0006121004,0.4631442,0.0004227693],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927366,0.001043725,0.0001102558,0.005430128,0.000128939,0.0002775445,0.0001333943,0.00001070925,0.000128675],"genre_scores_gemma":[0.9973348,0.00008690409,0.0001088626,0.00115772,0.0001046709,0.00005683918,0.0002949749,0.00001806441,0.0008371666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9435694,"threshold_uncertainty_score":0.3430001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004999332683715945,"score_gpt":0.2389062361235196,"score_spread":0.2339069034398037,"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."}}