{"id":"W2129742737","doi":"10.1371/journal.pbio.1002050","title":"Where Next for Microbiome Research?","year":2015,"lang":"en","type":"article","venue":"PLoS Biology","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":168,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"National Center for Complementary and Integrative Health; National Institute of Allergy and Infectious Diseases","keywords":"Biology; Metagenomics; Microbiome; Computational biology; DNA sequencing; Data science; Profiling (computer programming); Evolutionary biology; Bioinformatics; Genetics; DNA; Computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004872025,0.0001109998,0.0001521355,0.00007256059,0.00009732098,0.00001722024,0.0002468639,0.0002841727,0.00002278743],"category_scores_gemma":[0.0001802473,0.00009762587,0.00005715961,0.00008983978,0.0001753188,0.000002206646,0.0001412149,0.0001163176,0.0001226388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002807864,"about_ca_system_score_gemma":0.0002339863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003550416,"about_ca_topic_score_gemma":0.0001089132,"domain_scores_codex":[0.9987804,0.0001406243,0.0001623969,0.0003782662,0.00004175236,0.0004965298],"domain_scores_gemma":[0.9991535,0.00002785878,0.0000394219,0.0003181776,0.0003011413,0.0001599108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001086188,0.00007067338,0.0009481776,0.00003534211,0.00002808749,4.491143e-7,0.00004865518,2.873238e-7,0.9175793,0.000506065,0.08021734,0.0004570208],"study_design_scores_gemma":[0.000856074,0.001160053,0.0002011858,0.00001230714,0.000007214884,0.00001452286,0.0001436082,0.000008706265,0.1411026,0.0007498713,0.8555894,0.0001544197],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892308,0.005463127,0.0004046767,0.002203942,0.000339956,0.0005882789,0.0001229157,0.0000250568,0.001621283],"genre_scores_gemma":[0.9905518,0.0004745638,0.003646073,0.0008490908,0.0008627093,0.00009705471,0.0006416861,0.00003807445,0.002838942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7764767,"threshold_uncertainty_score":0.3981068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1809367645471026,"score_gpt":0.3997268681279392,"score_spread":0.2187901035808365,"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."}}