{"id":"W3014479689","doi":"10.1371/journal.pone.0231197","title":"Metagenomics analysis reveals features unique to Indian distal gut microbiota","year":2020,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Council of Scientific and Industrial Research, India; McGill University","keywords":"Metagenomics; Biology; Gut flora; Prevotella; Bifidobacterium; Microbiome; Abundance (ecology); Zoology; Feces; Ecology; Genetics; Bacteria; Gene; Lactobacillus; Biochemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005153492,0.0004886553,0.0007299801,0.003358298,0.0007985347,0.001471421,0.0003174153,0.0003361614,0.0006550096],"category_scores_gemma":[0.0008296635,0.0002227283,0.001252163,0.003417978,0.0003031953,0.0003885855,0.0007858666,0.000572816,0.0001964035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003679933,"about_ca_system_score_gemma":0.0006090216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004573899,"about_ca_topic_score_gemma":0.006657248,"domain_scores_codex":[0.9994165,0.0001132783,0.0000401267,0.0001969414,0.0001088274,0.0001243867],"domain_scores_gemma":[0.9995787,0.00009689845,0.0001061886,0.00007386001,0.00008164837,0.00006274261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001172136,0.0002443764,0.5634527,0.0009162574,0.003172023,0.0008591704,0.001660401,0.003146527,0.3601896,0.001247004,0.001345961,0.06259383],"study_design_scores_gemma":[0.000009597205,0.0001470636,0.973042,0.00004836441,0.001028244,0.0007513432,0.0012406,0.006541019,0.01169423,0.001111352,0.004338998,0.00004717513],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875532,0.002628413,0.004630347,0.0002040324,0.00002976891,0.00003234684,0.003110376,0.0001260498,0.001685516],"genre_scores_gemma":[0.9911595,0.001055423,0.004025515,0.00009614793,0.00001730815,0.00002870246,0.003276413,0.00002740888,0.0003137091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004573899,"threshold_uncertainty_score":0.009094596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02591447144116426,"score_gpt":0.2380598808641842,"score_spread":0.2121454094230199,"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."}}