{"id":"W3193313699","doi":"10.1128/msystems.00675-21","title":"How the Physical Environment Shapes the Microbiota","year":2021,"lang":"en","type":"article","venue":"mSystems","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Canadian Institute for Advanced Research","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; W. Garfield Weston Foundation; Michael Smith Health Research BC; Canada Foundation for Innovation; Crohn's and Colitis Canada; Paul G. Allen Frontiers Group; Government of Canada; Canadian Institute for Advanced Research","keywords":"Macro; Ecosystem; Environmental resource management; Environmental science; Ecology; Earth science; Computer science; Biology; Geology","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":[0.0004608795,0.000256431,0.0002713248,0.000387139,0.0007389132,0.002755686,0.0003027144,0.0009242676,0.00255738],"category_scores_gemma":[0.001364001,0.0003612076,0.0003282471,0.0002253328,0.001624978,0.001418103,0.001363146,0.0009532024,0.000879522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004935862,"about_ca_system_score_gemma":0.0005617078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001735671,"about_ca_topic_score_gemma":0.002373986,"domain_scores_codex":[0.9993309,0.000247649,0.00001777527,0.0001420548,0.000140632,0.0001211048],"domain_scores_gemma":[0.999553,0.00009172185,0.00008345812,0.00004493799,0.00007650087,0.0001504094],"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":[0.0005750185,0.0002281715,0.09564264,0.0009624318,0.0002956604,0.001524262,0.003978694,0.005367545,0.6749205,0.04523117,0.01493283,0.1563411],"study_design_scores_gemma":[0.00009685794,0.001160759,0.5393076,0.0008417167,0.0003504553,0.003025978,0.01315774,0.01822257,0.1044925,0.08777206,0.2311428,0.0004289121],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.892828,0.0173607,0.02554387,0.0130154,0.001149706,0.0000758841,0.0005168678,0.0003849912,0.04912464],"genre_scores_gemma":[0.9858248,0.004667739,0.003840248,0.001375974,0.0001102585,0.00002547433,0.00007940777,0.00005894515,0.004017183],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002755686,"threshold_uncertainty_score":0.008555233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01025724778366214,"score_gpt":0.2162175308603184,"score_spread":0.2059602830766563,"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."}}