{"id":"W3207856011","doi":"10.1128/msystems.00604-21","title":"Chasing Ghosts: Race, Racism, and the Future of Microbiome Research","year":2021,"lang":"en","type":"article","venue":"mSystems","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"University of California, Irvine; Directorate for Biological Sciences; Michael Smith Health Research BC","keywords":"Microbiome; Race (biology); Racism; Human Microbiome Project; Human microbiome; Field (mathematics); Sociology; Environmental ethics; Epistemology; Engineering ethics; Data science; Biology; Bioinformatics; Computer science; Gender studies; Engineering; Philosophy","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":[0.0008936587,0.00007541027,0.0001708623,0.00003380053,0.0001412895,0.00003019485,0.0001124662,0.0001265944,0.000008362718],"category_scores_gemma":[0.00003471201,0.00005256215,0.00004960494,0.0001544749,0.0001759825,0.000001399619,0.0001331334,0.0001277164,0.000006195399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001055315,"about_ca_system_score_gemma":0.0001169036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005291454,"about_ca_topic_score_gemma":0.00008733151,"domain_scores_codex":[0.9989663,0.0003134483,0.0001927807,0.0002232596,0.0000917532,0.0002124572],"domain_scores_gemma":[0.9993563,0.00002878681,0.00005870356,0.0003343074,0.0001782457,0.00004369713],"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":[0.00006485971,0.00001872503,0.0003710276,0.0001614551,0.00002518006,0.000003646815,0.0003137875,3.576906e-7,0.9917504,0.0007871455,0.005538202,0.0009652226],"study_design_scores_gemma":[0.001736396,0.00008572389,0.00168623,0.0001103592,0.00001106482,0.0002442208,0.002872607,0.000009841466,0.3087598,0.00004966665,0.6843106,0.0001235732],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.954244,0.04183584,0.00004565077,0.002023526,0.0003612921,0.0002437391,0.00002493175,0.000004309612,0.001216744],"genre_scores_gemma":[0.9957426,0.001377039,0.0001039376,0.0001561947,0.00050712,0.000008069664,0.00004385015,0.00001233068,0.002048927],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6829906,"threshold_uncertainty_score":0.2143422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01612273395997968,"score_gpt":0.3166188171929338,"score_spread":0.3004960832329541,"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."}}