{"id":"W2765476861","doi":"10.1002/mas.21548","title":"Metabolomics toward personalized medicine","year":2017,"lang":"en","type":"review","venue":"Mass Spectrometry Reviews","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":392,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"King Faisal Specialist Hospital and Research Centre","keywords":"Metabolomics; Personalized medicine; Biomarker discovery; Computational biology; Precision medicine; Biomarker; Profiling (computer programming); Metabolome; Disease; Proteomics; Genomics; Bioinformatics; Chemistry; Medicine; Biology; Computer science; Internal medicine; Pathology","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":["metaepi_narrow"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.002200649,0.001555469,0.007658586,0.0006306689,0.0003932238,0.0001356858,0.002033216,0.0007972957,0.0007776316],"category_scores_gemma":[0.001866756,0.001091377,0.002430079,0.0006080905,0.0005867135,0.00001071285,0.0006138037,0.0008024614,0.0004251141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001341823,"about_ca_system_score_gemma":0.0002619031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001378685,"about_ca_topic_score_gemma":0.00000683087,"domain_scores_codex":[0.9941869,0.0006380735,0.00190848,0.001772403,0.0004700131,0.001024075],"domain_scores_gemma":[0.9943898,0.00007058943,0.002242464,0.002836549,0.000124991,0.0003356085],"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":[0.0000278175,0.00008944031,0.00000883909,0.0157285,0.001993956,0.00002969955,0.00002632681,2.888495e-8,0.001352297,0.003596915,0.05468471,0.9224615],"study_design_scores_gemma":[0.0005019945,0.0003120555,0.000002521901,0.002708714,0.002572191,0.0001020418,0.00001402016,2.950677e-7,0.00003676016,0.0002143536,0.9924665,0.001068536],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000001172858,0.9804296,0.001234581,0.0002182489,0.001402165,0.00186809,0.0001379953,0.00004163732,0.01466654],"genre_scores_gemma":[0.000001503723,0.9741285,0.005952234,0.0001792708,0.003223362,0.0004440799,0.0008061012,0.0002049906,0.01505999],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9377818,"threshold_uncertainty_score":0.9997194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1531355385920578,"score_gpt":0.3957429968198349,"score_spread":0.2426074582277771,"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."}}