{"id":"W2012135077","doi":"10.1016/j.cub.2010.05.020","title":"Gut Microbiota: Metagenomics to Study Complex Ecology","year":2010,"lang":"en","type":"article","venue":"Current Biology","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"","keywords":"Metagenomics; Biology; Gut flora; Microbial ecology; Ecology; Microbial population biology; Microbiome; Computational biology; Evolutionary biology; Bioinformatics; Bacteria; Genetics; Immunology; Gene","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":[0.001103932,0.0007718038,0.001048091,0.001510867,0.0002888462,0.001248054,0.0004213096,0.0006549612,0.001875153],"category_scores_gemma":[0.001101999,0.0003854069,0.0005513789,0.001293276,0.0003446248,0.001397035,0.000996349,0.001249672,0.0004592437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003156556,"about_ca_system_score_gemma":0.000489413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004735875,"about_ca_topic_score_gemma":0.001175159,"domain_scores_codex":[0.9996562,0.0001619096,0.00001252374,0.0000676105,0.00007889722,0.00002282728],"domain_scores_gemma":[0.9995995,0.0001591803,0.00005463903,0.00008358308,0.00004721971,0.00005588175],"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":[0.0005810134,0.0001782285,0.04169542,0.001048825,0.001615362,0.0001709907,0.0001851819,0.005604974,0.7543232,0.01081466,0.002737676,0.1810444],"study_design_scores_gemma":[0.0003870825,0.001242772,0.2335788,0.0005893153,0.003209339,0.002230279,0.001222379,0.1815757,0.2905373,0.1875247,0.09757203,0.0003304418],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3139099,0.03086658,0.6356242,0.00416495,0.0007396779,0.0001964016,0.00431666,0.002040098,0.008141622],"genre_scores_gemma":[0.621264,0.01453288,0.3585596,0.001295016,0.000396759,0.0002933483,0.001513449,0.0003830605,0.001761974],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001875153,"threshold_uncertainty_score":0.006273031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03467459306584215,"score_gpt":0.355156914210572,"score_spread":0.3204823211447299,"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."}}