{"id":"W2969687356","doi":"10.1016/j.pt.2019.07.015","title":"Impact of the Microbiome on the Human Genome","year":2019,"lang":"en","type":"review","venue":"Trends in Parasitology","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research; McGill University; Canadian Institute for Advanced Research","keywords":"Microbiome; Biology; Human microbiome; Human Microbiome Project; Genome; Metagenomics; Human genome; Genetics; Computational biology; Evolutionary biology; Gene","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":[0.0001871063,0.0003427904,0.0009526323,0.0001967975,0.00006878642,0.000006809309,0.000809631,0.0005836765,0.0001396919],"category_scores_gemma":[0.00001352754,0.0001703079,0.0007656405,0.0003323742,0.0002167719,6.949036e-7,0.0001779304,0.0004137816,0.00005676659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007251043,"about_ca_system_score_gemma":0.000222988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006600597,"about_ca_topic_score_gemma":0.00007810711,"domain_scores_codex":[0.9982494,0.0004034927,0.0004879918,0.0004253506,0.00005552182,0.0003782065],"domain_scores_gemma":[0.9984431,0.00004287151,0.0003866632,0.001074582,0.00002093184,0.00003180239],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002752553,0.002592064,0.02299621,0.01726733,0.005906778,0.00005824133,0.0006347147,0.00007644627,0.2862641,0.004804566,0.1105548,0.5485695],"study_design_scores_gemma":[0.0003105572,0.0005218952,0.03819884,0.0007180694,0.0002199235,0.0001396965,0.00000345462,9.857244e-8,0.00009331348,0.00001272469,0.9594731,0.0003083524],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.05646239,0.940493,4.341185e-7,0.00006985615,0.0003414395,0.0003904469,0.0001927993,0.000004487853,0.002045168],"genre_scores_gemma":[0.02781894,0.968396,0.000007429896,0.0001173682,0.0002000046,0.00003804105,0.0005661828,0.00005613841,0.002799882],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8489183,"threshold_uncertainty_score":0.6944954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06935911143040961,"score_gpt":0.4433034405900103,"score_spread":0.3739443291596006,"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."}}