{"id":"W2396038845","doi":"10.1139/cjm-2016-0219","title":"Microbiome profiling of drinking water in relation to incidence of inflammatory bowel disease","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Microbiology","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; University of Manitoba; Public Health Agency of Canada","funders":"Fondation pour la Recherche Médicale; Crohn's and Colitis Foundation of Canada; Crohn's and Colitis Foundation","keywords":"Inflammatory bowel disease; Microbiome; Incidence (geometry); Ulcerative colitis; Microbiology; Disease; Medicine; Biology; Gastroenterology; Internal medicine; Bioinformatics; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.0002255729,0.0001683472,0.0002878562,0.000761463,0.0002633214,0.0005928803,0.0001361925,0.0003000182,0.0008900791],"category_scores_gemma":[0.001136651,0.000159627,0.0001294681,0.001599009,0.000252074,0.000185016,0.0004038532,0.000266591,0.0001486028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003475212,"about_ca_system_score_gemma":0.0003707884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01301127,"about_ca_topic_score_gemma":0.02113925,"domain_scores_codex":[0.999738,0.00006774855,0.00001629825,0.00005411966,0.00005872438,0.00006496893],"domain_scores_gemma":[0.9994586,0.00008047189,0.0002263859,0.00001876638,0.0001334418,0.00008239436],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002668801,0.0000266607,0.9810147,0.00004045612,0.0000407071,0.00005817454,0.0001746537,0.00004802767,0.01342571,0.00001698979,0.00009268397,0.004794335],"study_design_scores_gemma":[0.000001093349,0.00005441687,0.9986085,0.00000576224,0.00001486923,0.00007932564,0.0003048418,0.0001010126,0.0005888827,0.00002136257,0.0002179225,0.000001894688],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982207,0.0008120016,0.0001286642,0.00005603367,0.000004660772,0.00000462861,0.0004703877,0.000004716661,0.0002982177],"genre_scores_gemma":[0.9983718,0.0005048283,0.0003225371,0.00004378311,0.000005356472,0.000005491153,0.0004126742,0.000002436684,0.0003312093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01301127,"threshold_uncertainty_score":0.0258711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006198955614022822,"score_gpt":0.2201606182261877,"score_spread":0.2139616626121649,"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."}}