{"id":"W2917569531","doi":"10.1093/ecco-jcc/jjz049","title":"Faecal Microbiota Dynamics and their Relation to Disease Course in Crohn’s Disease","year":2019,"lang":"en","type":"article","venue":"Journal of Crohn s and Colitis","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Maastricht Universitair Medisch Centrum","keywords":"Exacerbation; Microbiome; Disease; Crohn's disease; Faecalibacterium prausnitzii; Species richness; Gut flora; Feces; Internal medicine; Dysbiosis; Medicine; Actinomyces; Metagenomics; Immunology; Inflammatory bowel disease; Microbial population biology; Biology; Gastroenterology; Microbiology; Bacteria; Ecology; Bioinformatics; Gene; Genetics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004876951,0.0002114553,0.0003031641,0.0007820224,0.0002841444,0.0005635059,0.0001344718,0.000398275,0.0008244692],"category_scores_gemma":[0.002319055,0.0001246896,0.0001840364,0.0006632418,0.0002892847,0.0003406914,0.0003498532,0.000385423,0.000147365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002689919,"about_ca_system_score_gemma":0.0001275679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001006493,"about_ca_topic_score_gemma":0.001164943,"domain_scores_codex":[0.9997088,0.00008102422,0.00003464779,0.00006081132,0.00006044775,0.00005424116],"domain_scores_gemma":[0.9986228,0.0002888525,0.0006229919,0.00004599755,0.0001864122,0.0002329721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007555056,0.00005104945,0.9893563,0.00003236553,0.00004726429,0.0001162267,0.0001348056,0.00007776143,0.003394449,0.00001002014,0.00004925064,0.005974869],"study_design_scores_gemma":[0.00000384938,0.0001710702,0.999138,0.000005385327,0.0000116632,0.0002405536,0.0000697659,0.0001006323,0.0001698345,0.00001594874,0.00007136424,0.000001922998],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988945,0.0007661759,0.00007711624,0.00002430565,0.000003942739,0.00000447398,0.00007245928,0.000002631814,0.0001543997],"genre_scores_gemma":[0.9995037,0.0001604009,0.0001674396,0.000009367853,0.000005576006,0.000003970152,0.0000967393,0.000001294358,0.00005142016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001006493,"threshold_uncertainty_score":0.002758145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004543374448100415,"score_gpt":0.2408845897158381,"score_spread":0.2363412152677377,"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."}}