{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004142109,0.0003726873,0.00209676,0.000298736,0.0001948133,0.00004994721,0.0004854206,0.0001979855,0.000005328483],"category_scores_gemma":[0.0003428169,0.0002095405,0.001280122,0.0003726615,0.0003461601,0.000003500168,0.0003439108,0.0001054855,4.401689e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006804793,"about_ca_system_score_gemma":0.0001099013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007523003,"about_ca_topic_score_gemma":0.00001583651,"domain_scores_codex":[0.9985638,0.0001449235,0.0004790078,0.0005030165,0.0001043774,0.0002048601],"domain_scores_gemma":[0.9984018,0.0001080497,0.00072838,0.0005885387,0.0001344268,0.00003885781],"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":[0.00003890857,0.0002067944,0.0003260042,0.005616972,0.05916417,3.135483e-7,0.0001806012,0.00004120787,0.001367794,0.03218803,0.001000052,0.8998691],"study_design_scores_gemma":[0.0001381493,0.00002614961,0.0003166727,0.0001096356,0.01320582,0.000002430625,0.000025913,0.00003073647,0.0003065524,0.0002970558,0.9853167,0.0002242122],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003344739,0.9962358,0.0007845304,0.00002455299,0.0001584993,0.0006301061,0.001658857,0.000003162361,0.000170023],"genre_scores_gemma":[0.0005349552,0.9938197,0.003580918,0.00001714852,0.0001161487,0.0001577923,0.0008284479,0.00002692329,0.0009179933],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9843166,"threshold_uncertainty_score":0.8544812,"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."}}