{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001603693,0.0002547068,0.0002824802,0.002609842,0.0003605278,0.001414525,0.0002404663,0.0003779313,0.002151645],"category_scores_gemma":[0.003579316,0.0001850337,0.0002612655,0.002311122,0.0003045297,0.00109038,0.0009992217,0.0004746255,0.0003679289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002063868,"about_ca_system_score_gemma":0.0004475394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009327679,"about_ca_topic_score_gemma":0.001489325,"domain_scores_codex":[0.9993901,0.0002422671,0.00004288058,0.0001572633,0.0001081367,0.00005923098],"domain_scores_gemma":[0.9989659,0.0004492909,0.0003193039,0.00008244112,0.00012205,0.00006102409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004574938,0.0001836557,0.6070276,0.0007822018,0.0004812877,0.0002117708,0.0009182654,0.001994542,0.1276375,0.005723756,0.0009854594,0.2535964],"study_design_scores_gemma":[0.000009560137,0.0004362848,0.9381424,0.0002665435,0.0002140647,0.0009919928,0.002187732,0.007733127,0.02028194,0.01702752,0.01263861,0.00007023761],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.943867,0.0125136,0.03186258,0.001364649,0.00005796501,0.00005550019,0.002641237,0.0001115401,0.007526038],"genre_scores_gemma":[0.9711199,0.005468152,0.02071391,0.0002797941,0.00006014244,0.00003646432,0.001479785,0.00002265763,0.0008190346],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002609842,"threshold_uncertainty_score":0.008481264,"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."}}