{"id":"W2299713148","doi":"10.1097/mib.0000000000000674","title":"Microbiome Heterogeneity Characterizing Intestinal Tissue and Inflammatory Bowel Disease Phenotype","year":2016,"lang":"en","type":"article","venue":"Inflammatory Bowel Diseases","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Mount Sinai Hospital","funders":"Crohn's and Colitis Canada; National Institute of Diabetes and Digestive and Kidney Diseases; Crohn's and Colitis Foundation of Canada; Crohn's and Colitis Foundation","keywords":"Inflammatory bowel disease; Phenotype; Microbiome; Intestinal Microbiome; Medicine; Inflammatory Bowel Diseases; Disease; Clinical phenotype; Biology; Immunology; Pathology; Bioinformatics; Genetics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.000451253,0.000233231,0.0003706029,0.0008008177,0.0004570808,0.0006421981,0.0001409164,0.0002420294,0.0007538128],"category_scores_gemma":[0.0009458002,0.0001120286,0.0001635913,0.001061382,0.0004099407,0.0001880825,0.0004937426,0.000230978,0.0001199857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004168915,"about_ca_system_score_gemma":0.0002710179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0142494,"about_ca_topic_score_gemma":0.03102828,"domain_scores_codex":[0.9995161,0.0001070622,0.00002955533,0.0001338003,0.0001244973,0.0000889154],"domain_scores_gemma":[0.9993783,0.00009501618,0.000274341,0.00005040365,0.00009987512,0.0001020624],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003106511,0.0000117916,0.9138232,0.0001125182,0.0001329342,0.000243764,0.0004302216,0.0001041272,0.07865836,0.00004025669,0.0002037057,0.005928552],"study_design_scores_gemma":[9.879595e-7,0.00002009772,0.9986766,0.000005636205,0.00001310688,0.0001569109,0.0001476208,0.0000402248,0.0007033505,0.00001419096,0.0002193141,0.000001978288],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969534,0.001442405,0.0004462015,0.00004939034,0.000005596185,0.000009346089,0.0005895229,0.000006792916,0.0004973661],"genre_scores_gemma":[0.9987338,0.0003066556,0.000384103,0.00003333479,0.000006145404,0.000006148112,0.0003893368,0.00000361553,0.0001367994],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0142494,"threshold_uncertainty_score":0.02833289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00879852439085181,"score_gpt":0.2457920340184186,"score_spread":0.2369935096275668,"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."}}