{"id":"W2288508081","doi":"10.1128/msystems.00022-16","title":"Geography and Location Are the Primary Drivers of Office Microbiome Composition","year":2016,"lang":"en","type":"article","venue":"mSystems","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":159,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"Alfred P. Sloan Foundation","keywords":"Composition (language); Microbiome; Geography; Primary (astronomy); Economic geography; Biology; Bioinformatics","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":[0.002037708,0.0005968488,0.0007133275,0.0007829264,0.0009854757,0.002659737,0.0006543395,0.0006434329,0.007651415],"category_scores_gemma":[0.01529316,0.0002846623,0.0007137192,0.001429157,0.0008546037,0.002045191,0.001561062,0.000826549,0.00114595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005842789,"about_ca_system_score_gemma":0.001108282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009788903,"about_ca_topic_score_gemma":0.02113795,"domain_scores_codex":[0.9974169,0.001002071,0.0002127924,0.0005129785,0.0004267932,0.0004284665],"domain_scores_gemma":[0.9869604,0.005961335,0.004211027,0.0009559758,0.0008378244,0.001073426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003287098,0.00009560912,0.9694885,0.0002972904,0.0001754539,0.0005208616,0.00102598,0.0003815232,0.001823774,0.0007269755,0.001223356,0.02391201],"study_design_scores_gemma":[0.000004910785,0.0001525824,0.9876774,0.0001610102,0.0001018419,0.0006079627,0.003387031,0.0004642575,0.0005975365,0.001120798,0.005685422,0.00003916513],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9782628,0.003328539,0.006776166,0.002035908,0.0001556117,0.00007276656,0.001688264,0.00008411713,0.007595836],"genre_scores_gemma":[0.9951262,0.0007532068,0.00249545,0.0001701833,0.00004724372,0.00002547803,0.0003797725,0.00005285165,0.0009495736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009788903,"threshold_uncertainty_score":0.02559656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004562565203575399,"score_gpt":0.2008897453466263,"score_spread":0.1963271801430509,"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."}}