{"id":"W2597605420","doi":"10.1128/jcm.00162-17","title":"Robust Microbiota-Based Diagnostics for Inflammatory Bowel Disease","year":2017,"lang":"en","type":"article","venue":"Journal of Clinical Microbiology","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Advanced Research","funders":"National Science Council; ZonMw","keywords":"Inflammatory bowel disease; Gut flora; Replicate; Crohn's disease; Microbiome; Disease; Medicine; Biology; Bioinformatics; Immunology; Statistics; Internal medicine; Mathematics","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":[0.00370458,0.0009299904,0.001391844,0.001749974,0.0002826031,0.001572317,0.0006529021,0.0008529063,0.0006167719],"category_scores_gemma":[0.007008038,0.0003494414,0.0007106558,0.001103184,0.0004976928,0.0007100987,0.001026954,0.0009257469,0.0006282326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006420754,"about_ca_system_score_gemma":0.0007968749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001106832,"about_ca_topic_score_gemma":0.001138735,"domain_scores_codex":[0.9963069,0.001418419,0.000198939,0.0005969568,0.001307698,0.0001712141],"domain_scores_gemma":[0.9975758,0.0007959888,0.0007053321,0.0003315395,0.0004773556,0.0001139632],"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":[0.002952775,0.0006280912,0.1099019,0.00161219,0.0009612005,0.0005628493,0.0002120171,0.1057949,0.4063165,0.003056506,0.005532939,0.3624681],"study_design_scores_gemma":[0.000126054,0.002183858,0.08450061,0.000351131,0.0006161278,0.001106973,0.0002009845,0.6742771,0.2114152,0.0116764,0.01332709,0.0002184478],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4663252,0.04497942,0.4745161,0.002124353,0.0006124908,0.0004852483,0.004659451,0.002784626,0.003513061],"genre_scores_gemma":[0.8561029,0.004570539,0.135265,0.000446892,0.0002373271,0.0001491933,0.002490273,0.00009137995,0.0006465596],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00370458,"threshold_uncertainty_score":0.01959193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05970902750062605,"score_gpt":0.3767503190612401,"score_spread":0.317041291560614,"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."}}