{"id":"W2941516287","doi":"10.1099/acmi.ac2019.po0041","title":"Redefining a new genomic blueprint of the human gut microbiota","year":2019,"lang":"en","type":"article","venue":"Access Microbiology","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Biology; Metagenomics; Microbiome; Genome; Human microbiome; Gut flora; Repertoire; Evolutionary biology; Bacterial genome size; Phylogenetic diversity; Genetics; Phylogenetics; Phylogenetic tree; Computational biology; Gene; Immunology","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":[0.0003191342,0.0003031491,0.0004275609,0.001125949,0.0003009648,0.001098668,0.0002510209,0.0004754555,0.001881371],"category_scores_gemma":[0.001124895,0.000251993,0.0003387008,0.00150762,0.0003797435,0.0007720238,0.0008429351,0.000715152,0.0005739374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002071162,"about_ca_system_score_gemma":0.0004169648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001019019,"about_ca_topic_score_gemma":0.002070001,"domain_scores_codex":[0.9997631,0.00005300695,0.0000109374,0.00008771816,0.00005512797,0.00003007988],"domain_scores_gemma":[0.9995276,0.0001516072,0.0001092769,0.00009120828,0.00006298634,0.00005732669],"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":[0.0007440181,0.00008142443,0.07231736,0.00108811,0.0002191704,0.0006418306,0.001035252,0.003555861,0.7009366,0.005087696,0.002784206,0.2115086],"study_design_scores_gemma":[0.00005529763,0.000711904,0.6638047,0.0009845134,0.0004995317,0.006045981,0.002217402,0.0170931,0.1201428,0.02018321,0.1681055,0.0001561311],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9054987,0.02189099,0.05494036,0.001882128,0.0001656435,0.00003938293,0.01009011,0.0004128894,0.005079687],"genre_scores_gemma":[0.9145554,0.007714611,0.06666692,0.0009572933,0.0001381008,0.00003340963,0.008488532,0.0001385009,0.001307282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001881371,"threshold_uncertainty_score":0.006293774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01656197649114545,"score_gpt":0.2865479054385808,"score_spread":0.2699859289474354,"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."}}