{"id":"W4366818270","doi":"10.1002/cpz1.737","title":"The Robogut: A Bioreactor Model of the Human Colon for Evaluation of Gut Microbial Community Ecology and Function","year":2023,"lang":"en","type":"article","venue":"Current Protocols","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Breakthrough T1D Canada; Canadian Institutes of Health Research; Canada Foundation for Innovation; Canada Research Chairs","keywords":"Protocol (science); Bioreactor; Microbiome; Biochemical engineering; Microbial population biology; Biology; Microbial ecology; Function (biology); Biotechnology; Computer science; Ecology; Bioinformatics; Bacteria; Medicine; Pathology; Engineering; Cell biology","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":[0.001176748,0.00007250428,0.0001022531,0.00002121442,0.0003098514,0.00000849609,0.0001689205,0.00008481336,0.000001331122],"category_scores_gemma":[0.0001102634,0.0000472556,0.00006061664,0.000065699,0.0001397736,0.000002428351,0.0001273862,0.00009985649,4.364389e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001723184,"about_ca_system_score_gemma":0.0001869203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000991721,"about_ca_topic_score_gemma":0.000187013,"domain_scores_codex":[0.999205,0.0002624749,0.0002149605,0.0001092863,0.00007591738,0.0001323428],"domain_scores_gemma":[0.9992303,0.00003215107,0.0001956081,0.0002950475,0.000228161,0.00001874502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001026784,0.00008488397,0.001722613,0.0001790691,0.00001402547,1.544905e-9,0.00009159924,0.00009816914,0.9921594,0.000202899,0.002607865,0.002736804],"study_design_scores_gemma":[0.009173302,0.002649081,0.2459543,0.0003112219,0.0002359356,0.000002536248,0.0002662881,0.00978698,0.6731256,0.005527679,0.05260387,0.0003631501],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9663823,0.00003990483,0.00009106466,0.000103464,0.00009807703,0.03318258,0.00007826561,0.000004522642,0.00001976689],"genre_scores_gemma":[0.978531,0.00001144945,0.00001930157,0.00001844977,0.00004467418,0.02121445,0.0001100159,0.000008180667,0.00004247508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3190338,"threshold_uncertainty_score":0.2383157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1385848397593592,"score_gpt":0.4189263645145646,"score_spread":0.2803415247552054,"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."}}