{"id":"W2792438665","doi":"10.1128/msystems.00163-17","title":"Exploring Linkages between Taxonomic and Functional Profiles of the Human Microbiome","year":2018,"lang":"en","type":"article","venue":"mSystems","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":98,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Profiling (computer programming); Microbiome; Human microbiome; Biology; Biological classification; Computational biology; Human Microbiome Project; Metagenomics; Taxonomic rank; Evolutionary biology; Ecology; Bioinformatics; Computer science; Taxon; Genetics; 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":[0.000124057,0.0000714823,0.0001006191,0.00002229029,0.0001282287,0.000009853085,0.00008075224,0.00005917022,0.000006215168],"category_scores_gemma":[0.00000559715,0.00005238584,0.00003594199,0.00003684705,0.0001192404,0.000002243559,0.0000845641,0.00004060948,0.000006621398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008874147,"about_ca_system_score_gemma":0.00003207166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006115894,"about_ca_topic_score_gemma":0.00001548498,"domain_scores_codex":[0.9994965,0.00003685122,0.0001578996,0.0001592358,0.00003327459,0.000116216],"domain_scores_gemma":[0.9996632,0.000004378253,0.00008063997,0.0001866778,0.00003697736,0.00002817407],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000001580297,0.000005681366,0.07358616,0.00005837105,0.00001821911,3.512546e-8,0.00003674338,1.375886e-7,0.9249464,0.00005234205,0.001228987,0.00006534287],"study_design_scores_gemma":[0.0002151477,0.0001107933,0.3467667,0.0000504804,0.000009913285,0.000007098358,0.00007745366,6.620761e-7,0.6096009,0.000005213437,0.04307686,0.0000788247],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988919,0.0001989645,0.00004864542,0.00007431683,0.0002511716,0.0001628915,0.00003340395,0.000004961941,0.0003336938],"genre_scores_gemma":[0.9985717,0.00001345099,0.00004870124,0.00003040663,0.0007879274,0.00001427995,0.00002798954,0.000009035914,0.0004965365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3153455,"threshold_uncertainty_score":0.2136232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09249492990668981,"score_gpt":0.2649695005543413,"score_spread":0.1724745706476515,"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."}}