{"id":"W2770707670","doi":"10.3390/metabo7040062","title":"Computational Approaches for Integrative Analysis of the Metabolome and Microbiome","year":2017,"lang":"en","type":"review","venue":"Metabolites","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":100,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Microbiome; Metagenomics; Metabolome; Computational biology; Metabolomics; Context (archaeology); Biology; Data science; Omics; Gut microbiome; Bioinformatics; Computer science; 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":[0.002730694,0.002129239,0.002277843,0.003204312,0.0005884281,0.002945384,0.002342475,0.001368717,0.002935013],"category_scores_gemma":[0.005066859,0.0007503458,0.003331488,0.00355352,0.0008550427,0.002087989,0.002724603,0.002240601,0.001196543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007979373,"about_ca_system_score_gemma":0.002284244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003844545,"about_ca_topic_score_gemma":0.004086729,"domain_scores_codex":[0.9990543,0.0003704764,0.00009359716,0.0001898949,0.0002487047,0.00004303336],"domain_scores_gemma":[0.9979665,0.00153461,0.00009778913,0.0001186207,0.0002205653,0.00006194138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001181104,0.0001831372,0.005077292,0.008538829,0.003256085,0.0008042633,0.0003482714,0.3154287,0.008655861,0.1467969,0.01506091,0.4957317],"study_design_scores_gemma":[0.00005984254,0.00009416905,0.002617258,0.001136132,0.0007584023,0.0005467712,0.0002257523,0.6409255,0.003849064,0.2326327,0.1169681,0.0001863845],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.004694212,0.06826265,0.9169461,0.001726226,0.0004201282,0.0001415225,0.001497002,0.001224849,0.005087289],"genre_scores_gemma":[0.05394788,0.129505,0.8068222,0.0007410608,0.0007627878,0.0008238899,0.004736063,0.000729128,0.001931954],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.003844545,"threshold_uncertainty_score":0.01444149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0945049601413512,"score_gpt":0.3503435887794443,"score_spread":0.2558386286380931,"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."}}