{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005398153,0.0002197522,0.0002119725,0.0001447134,0.001146232,0.0003247848,0.00112645,0.0001286952,0.00002473513],"category_scores_gemma":[0.0006717847,0.0001132329,0.0001057657,0.0007931797,0.0004421175,0.000006921189,0.0009572395,0.0006699345,0.00005853365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003346534,"about_ca_system_score_gemma":0.0002415722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001586675,"about_ca_topic_score_gemma":0.00111995,"domain_scores_codex":[0.9964124,0.001421731,0.0003670819,0.0006172518,0.0003449481,0.0008365656],"domain_scores_gemma":[0.9977944,0.000703375,0.00009992873,0.0008365951,0.000386649,0.0001789787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002728598,0.0009062238,0.5521837,0.00005347552,0.0002829322,0.000005825118,0.003261028,0.000009426999,0.3958527,0.00020197,0.04129781,0.003216355],"study_design_scores_gemma":[0.009673136,0.007533899,0.9096909,0.00002213396,0.0002161575,0.00009920631,0.01002142,0.00009962793,0.00843362,0.0004182101,0.05289108,0.0009006799],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933144,0.001681982,0.00002340391,0.002680718,0.0002695587,0.001886334,0.00006239759,0.00001339098,0.00006784586],"genre_scores_gemma":[0.9979826,0.0006462469,0.0000975744,0.0002471675,0.0006139823,0.00007173849,0.00004770498,0.00003077665,0.0002621969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.387419,"threshold_uncertainty_score":0.8816002,"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."}}