{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001601852,0.001154635,0.001518313,0.002623464,0.0004280966,0.002516915,0.0011904,0.002396768,0.004779117],"category_scores_gemma":[0.001734066,0.0003055775,0.0008263927,0.002121501,0.001569113,0.002688122,0.002079905,0.00404659,0.00392005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001792414,"about_ca_system_score_gemma":0.002057449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001054387,"about_ca_topic_score_gemma":0.00125757,"domain_scores_codex":[0.9992423,0.0002342802,0.00005977437,0.0001278516,0.0002755632,0.00006030441],"domain_scores_gemma":[0.9991913,0.0003942474,0.00006921419,0.00005083754,0.0002213401,0.00007305311],"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":[0.00007268546,0.00008425191,0.000354517,0.0119679,0.0002230563,0.0003646005,0.0002154838,0.0008919617,0.004581043,0.06443233,0.07655165,0.8402605],"study_design_scores_gemma":[0.000007711126,0.00003750911,0.0003706182,0.001721671,0.00004165301,0.0006019867,0.00007880184,0.0002039021,0.0008652828,0.01857383,0.9774734,0.00002367489],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002759816,0.9832427,0.003538772,0.005680808,0.001342249,0.00002022228,0.00007496626,0.00007714998,0.005747119],"genre_scores_gemma":[0.002947733,0.9887497,0.00262505,0.002253328,0.001267196,0.00002656619,0.00008776869,0.00001337564,0.002029273],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004779117,"threshold_uncertainty_score":0.01598775,"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."}}