{"id":"W2952760726","doi":"10.1128/msystems.00067-16","title":"Genetic and Transcriptional Analysis of Human Host Response to Healthy Gut Microbiota","year":2016,"lang":"en","type":"article","venue":"mSystems","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"National Center for Advancing Translational Sciences; National Institute of General Medical Sciences; Randy Shaver Cancer Research and Community Fund; University of Minnesota; Wayne State University; American Cancer Society","keywords":"Biology; Gut flora; Gene; Microbiome; Genetics; Allele; Host (biology); Single-nucleotide polymorphism; Transcriptome; Disease; Gene expression; Immunology; Genotype; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002960403,0.000109024,0.0002396494,0.0001792648,0.00006889016,0.000009185864,0.0001072575,0.000105519,0.00002722729],"category_scores_gemma":[0.00001676073,0.00008344174,0.0000919912,0.0001873953,0.00005411014,0.000001291921,0.00003208789,0.00002561736,0.000008552009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002253148,"about_ca_system_score_gemma":0.00006477126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001531868,"about_ca_topic_score_gemma":0.0003709737,"domain_scores_codex":[0.9989696,0.0001446134,0.0003034504,0.0003064599,0.00006951758,0.0002063959],"domain_scores_gemma":[0.9994227,0.00001427125,0.00007649203,0.0002923163,0.00006261971,0.0001316013],"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":[0.0003351785,0.00002947846,0.01166565,0.00003793069,0.0001467163,6.449084e-7,0.0001102435,0.000001700559,0.986741,0.00005107641,0.0007745979,0.0001057912],"study_design_scores_gemma":[0.0007527334,0.0007667661,0.9269847,0.0000477294,0.000117524,0.00001468366,0.00004864035,0.00000207194,0.03534034,0.000001876003,0.03574924,0.0001736799],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972608,0.0008610262,0.0005065859,0.0007780027,0.00007889754,0.0002024927,0.0002560338,0.00000572651,0.00005044388],"genre_scores_gemma":[0.9984483,0.00005718429,0.0001796078,0.0003151029,0.00007258471,0.000009133889,0.00002873485,0.00001242916,0.0008769679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9514006,"threshold_uncertainty_score":0.3402656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01229425912974171,"score_gpt":0.2761333529603377,"score_spread":0.263839093830596,"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."}}