{"id":"W4285732346","doi":"10.1080/19490976.2022.2096993","title":"The Mini Colon Model: a benchtop multi-bioreactor system to investigate the gut microbiome","year":2022,"lang":"de","type":"article","venue":"Gut Microbes","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill Genome Centre","funders":"","keywords":"Bioreactor; Biology; Microbiome; Multiplexing; Metagenomics; Gut flora; Fermentation; Biochemical engineering; Computational biology; Computer science; Bioinformatics; Food science; Engineering; Genetics; Telecommunications","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":[0.0006210654,0.0009129816,0.000653128,0.0004464777,0.0004504863,0.0006901014,0.0007095521,0.0007070926,0.001688848],"category_scores_gemma":[0.0003905949,0.0003123227,0.0005754502,0.0003509633,0.000337234,0.0005372131,0.0008259514,0.0008291451,0.0008184802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003247648,"about_ca_system_score_gemma":0.0006574679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009847863,"about_ca_topic_score_gemma":0.00226788,"domain_scores_codex":[0.9995171,0.0001004271,0.0000240861,0.0001500547,0.0001561645,0.00005219704],"domain_scores_gemma":[0.9996243,0.00009126103,0.00006956433,0.00006518899,0.00005353516,0.00009622958],"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":[0.0001452208,0.00007546305,0.0008359167,0.0001279225,0.00001559485,0.00003714466,0.0000266585,0.0002206752,0.9936608,0.0001163912,0.0003186453,0.004419478],"study_design_scores_gemma":[0.00005300964,0.002813714,0.01618857,0.00005546898,0.0001297024,0.0009421118,0.00009541288,0.01056682,0.9478983,0.0002572279,0.02089073,0.0001089014],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.57969,0.005857724,0.3978254,0.0005893294,0.0005504625,0.001249747,0.005983443,0.003803777,0.004450053],"genre_scores_gemma":[0.5257332,0.003336804,0.4571143,0.0005304776,0.0001413513,0.002133134,0.005416406,0.0002114167,0.005382955],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001688848,"threshold_uncertainty_score":0.005649745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01518571543290734,"score_gpt":0.2520486673724995,"score_spread":0.2368629519395921,"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."}}