{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001091113,0.000099069,0.00009405389,0.000004088701,0.0001726055,0.0000737915,0.0001923786,0.00005938312,0.00001077481],"category_scores_gemma":[0.00001043093,0.00005273117,0.00009083866,0.00003467991,0.00007080218,9.608829e-7,0.0001201105,0.00008759658,0.00004828183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001233611,"about_ca_system_score_gemma":0.00004583728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001409476,"about_ca_topic_score_gemma":0.00002548313,"domain_scores_codex":[0.99932,0.0001151958,0.00008250378,0.0002229199,0.00006824466,0.0001910852],"domain_scores_gemma":[0.9995212,0.00001270148,0.00004345736,0.0003727257,0.00001680222,0.00003314621],"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":[0.000003458047,0.00003178473,0.0001357046,0.00001698601,0.00002777006,0.000002191971,0.0001145102,0.000006422485,0.9879146,0.0001676117,0.01111678,0.0004621932],"study_design_scores_gemma":[0.0001323686,0.00003709623,0.00189357,0.000009302194,0.00001255316,0.00006145165,0.0003920545,0.0000253991,0.1554946,0.00000828475,0.8418517,0.00008162008],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9785148,0.006283549,0.0002571347,0.01341098,0.0002816033,0.0002967811,0.00003724142,0.000009376617,0.0009085287],"genre_scores_gemma":[0.9908726,0.000208211,0.00002136545,0.000746533,0.0006458855,0.0000171974,0.00003847955,0.00001254165,0.007437154],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.83242,"threshold_uncertainty_score":0.2150315,"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."}}