{"id":"W4210884283","doi":"10.3390/metabo12020154","title":"Metabolomics and the Multi-Omics View of Cancer","year":2022,"lang":"en","type":"review","venue":"Metabolites","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Canadian Institutes of Health Research; Canada Foundation for Innovation; Genome Canada","keywords":"Exposome; Metabolome; Omics; Cancer; Disease; Metabolomics; Biology; Genome; Computational biology; Genomics; Bioinformatics; Epigenome; Genetics; Medicine; DNA methylation; Gene; Pathology","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009011693,0.0004840907,0.002349815,0.0001251841,0.000175573,0.00003102217,0.0005417818,0.0001840551,0.0001106003],"category_scores_gemma":[0.0003323085,0.0002934033,0.0007237683,0.0003244008,0.000419963,0.000002712231,0.0008298088,0.0003036104,0.000001826381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001273398,"about_ca_system_score_gemma":0.0001733307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008174097,"about_ca_topic_score_gemma":0.00002651665,"domain_scores_codex":[0.9977718,0.0004458208,0.000721977,0.0005612605,0.0001832905,0.0003158574],"domain_scores_gemma":[0.9984275,0.0001631166,0.0006145575,0.0006750384,0.00005982376,0.0000600016],"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":[0.00004431345,0.00007182668,0.00003934068,0.003376669,0.002465302,8.272503e-7,0.00005131484,0.000001217309,0.0003062817,0.009617698,0.0002855122,0.9837397],"study_design_scores_gemma":[0.0007088168,0.00002274452,0.00001104672,0.00009504521,0.002527567,0.000009272426,0.00003323466,0.000003810788,0.0002914262,0.00007860795,0.9959177,0.0003007519],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001239994,0.9977894,0.00004526779,0.00003931756,0.0004788553,0.0007596519,0.0005404488,0.000007763194,0.0002153311],"genre_scores_gemma":[0.00001331262,0.996559,0.001402735,0.0001187498,0.0002513602,0.0005403531,0.0001870736,0.00006823291,0.0008591531],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9956322,"threshold_uncertainty_score":0.9999518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0405479469868603,"score_gpt":0.3330547958723568,"score_spread":0.2925068488854965,"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."}}