{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.00110442,0.0006488234,0.0005009167,0.0001195818,0.002836486,0.0002868717,0.001802456,0.0003253612,0.00003620861],"category_scores_gemma":[0.00007859591,0.0004660593,0.000377057,0.0004612896,0.000465976,0.000007832535,0.001869541,0.0006961639,0.0002905548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003803787,"about_ca_system_score_gemma":0.0009472086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004360423,"about_ca_topic_score_gemma":0.0004623616,"domain_scores_codex":[0.995837,0.0006091962,0.0008658553,0.001100435,0.0002631629,0.001324295],"domain_scores_gemma":[0.9973769,0.00008164582,0.0004060361,0.001557395,0.0002034033,0.0003746774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001713388,0.000158158,0.0001503141,0.0001631065,0.0002288585,0.00001338544,0.001565047,0.0005023996,0.8730527,0.0002026763,0.1235304,0.0002616583],"study_design_scores_gemma":[0.001158618,0.0005931087,0.000472948,0.0001073333,0.0002319609,0.0001850678,0.002506748,0.001870992,0.0678881,0.00001179473,0.9241921,0.0007812597],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9489034,0.03188227,0.0002536217,0.01084941,0.003143434,0.002219991,0.002541238,0.00006919196,0.0001374655],"genre_scores_gemma":[0.9824992,0.001083303,0.001359568,0.00544722,0.0006707752,0.0003297892,0.0007061146,0.0001447788,0.007759239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8051646,"threshold_uncertainty_score":0.9997791,"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."}}