{"id":"W2914696776","doi":"10.1038/s41598-018-36967-z","title":"Gut microbiota-mediated Gene-Environment interaction in the TashT mouse model of Hirschsprung disease","year":2019,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Congenital gastrointestinal and neural anomalies","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Canadian Institutes of Health Research; Government of Canada; Fonds de Recherche du Québec - Santé; Université du Québec à Montréal","keywords":"Megacolon; Weaning; Dysbiosis; Enteric nervous system; Hirschsprung's disease; Antibiotics; Gut flora; Expressivity; Gut–brain axis; Biology; Disease; Toxic megacolon; Medicine; Gastroenterology; Internal medicine; Physiology; Immunology; Clostridium difficile; Genetics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003331031,0.0006285465,0.0005041713,0.001189006,0.0002796423,0.0004216445,0.0002773947,0.0007020673,0.002827342],"category_scores_gemma":[0.0001917243,0.0003131217,0.0005117721,0.0003265226,0.0006008006,0.0003519224,0.0004168124,0.001204718,0.0002828298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003519841,"about_ca_system_score_gemma":0.0002436883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004740504,"about_ca_topic_score_gemma":0.00117628,"domain_scores_codex":[0.9995598,0.00009235691,0.00005205308,0.0001089621,0.0001055559,0.00008114938],"domain_scores_gemma":[0.9995767,0.00004971269,0.0001680154,0.00003377748,0.00002246289,0.0001492847],"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":[0.0005009728,0.0001602019,0.0004337376,0.00003747653,0.00001022274,0.0002242842,0.00003254478,0.00007247964,0.9974082,0.0001460268,0.0000438061,0.0009300323],"study_design_scores_gemma":[0.0002548319,0.004705637,0.03296924,0.00005958938,0.0001796311,0.002188621,0.0003327119,0.003793501,0.9510813,0.0004128591,0.003976661,0.00004537759],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959215,0.0004448538,0.002105824,0.0001562975,0.00005139212,0.00004091882,0.000513305,0.0001315798,0.0006343905],"genre_scores_gemma":[0.9888223,0.0007038944,0.004913776,0.0001242616,0.00002512228,0.0001855825,0.00052094,0.00008615954,0.004617899],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002827342,"threshold_uncertainty_score":0.009458423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01818962087531814,"score_gpt":0.2276076673438142,"score_spread":0.209418046468496,"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."}}