{"id":"W2912371128","doi":"10.1038/s41390-019-0326-7","title":"The mucosal–luminal interface: an ideal sample to study the mucosa-associated microbiota and the intestinal microbial biogeography","year":2019,"lang":"en","type":"article","venue":"Pediatric Research","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"Children's Hospital of Eastern Ontario; University of Ottawa","funders":"Canadian Institutes of Health Research; Mansoura University; Ministero dello Sviluppo Economico; Crohn's and Colitis Canada; King Abdulaziz University; Saudi Arabian Cultural Bureau; Ontario Ministry of Economic Development and Innovation; Ontario Genomics Institute; University of Ottawa; CHEO Research Institute; Ontario Genomics; Genome Canada","keywords":"Microbiome; Biology; Ribosomal RNA; Microbiology; Biopsy; 16S ribosomal RNA; Intestinal mucosa; Feces; Metagenomics; Gene; Pathology; Genetics; Medicine; Internal medicine","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":[0.0004593659,0.0004903317,0.0008284991,0.00105598,0.000889398,0.001687543,0.0003731528,0.0007560808,0.002979381],"category_scores_gemma":[0.000572935,0.0003099615,0.0003076624,0.0005915649,0.0005091327,0.001076245,0.001321146,0.001103544,0.001037161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001824965,"about_ca_system_score_gemma":0.0004621029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009280046,"about_ca_topic_score_gemma":0.001124379,"domain_scores_codex":[0.999719,0.00008135349,0.00001221572,0.00005273526,0.00007323871,0.00006139613],"domain_scores_gemma":[0.9997352,0.00004383429,0.00004086223,0.00002708773,0.00005799534,0.00009497962],"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":[0.001674855,0.0002169429,0.03433852,0.0003119027,0.00007489436,0.001109149,0.0005591282,0.0001712996,0.9356397,0.001766694,0.001066598,0.02307042],"study_design_scores_gemma":[0.0003830529,0.004674503,0.522006,0.0004515248,0.0005365345,0.01260079,0.009761237,0.005343542,0.3382735,0.007273431,0.09856116,0.0001346602],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9229194,0.01723406,0.04036293,0.001245259,0.0004342882,0.000531643,0.003584068,0.0003938316,0.01329465],"genre_scores_gemma":[0.9437255,0.004870802,0.04280046,0.001123156,0.0003202141,0.000643373,0.00218237,0.000276553,0.004057726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002979381,"threshold_uncertainty_score":0.009966969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02654549671555041,"score_gpt":0.3555354496598453,"score_spread":0.3289899529442949,"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."}}