{"id":"W3191523665","doi":"10.5772/intechopen.98911","title":"Pharmacometabolomics: A New Horizon in Personalized Medicine","year":2021,"lang":"en","type":"book-chapter","venue":"IntechOpen eBooks","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"King Abdullah University of Science and Technology","keywords":"Personalized medicine; Metabolomics; Drug response; Precision medicine; Computational biology; Medicine; Data science; Computer science; Drug; Bioinformatics; Pharmacology; Biology; 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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002812598,0.0005477556,0.0009262585,0.0002871531,0.00005470611,0.00003130957,0.0004321115,0.000466975,0.001312799],"category_scores_gemma":[0.0001089482,0.000505709,0.0002736264,0.00003560276,0.0002471352,0.000002198533,0.0004906302,0.0005419626,0.00003965855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005761863,"about_ca_system_score_gemma":0.0002734185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000108566,"about_ca_topic_score_gemma":0.0002472179,"domain_scores_codex":[0.9979337,0.00003554887,0.0005659981,0.0008428107,0.0002566483,0.0003652225],"domain_scores_gemma":[0.9989297,0.00002433855,0.0002528631,0.0005026138,0.0001279954,0.0001624371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000527547,0.00003979449,0.00003011969,0.0000919754,0.00137147,0.0002048621,0.0001968983,6.56996e-7,0.6996674,0.1225654,0.07598775,0.09931616],"study_design_scores_gemma":[0.001746311,0.0002935215,0.0000049492,0.0001861893,0.0001325623,0.00002894627,0.00006339762,0.000001270172,0.02461979,0.003945718,0.9684686,0.0005087301],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001511815,0.02635562,0.0004499276,0.0004943201,0.0007776949,0.0005265001,0.000047603,0.00002400752,0.9698125],"genre_scores_gemma":[0.006832418,0.007825356,0.0006805761,0.0007834109,0.00133268,0.00003308079,0.0002116945,0.0001195438,0.9821813],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8924809,"threshold_uncertainty_score":0.9997395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02554062820087,"score_gpt":0.2835413463932638,"score_spread":0.2580007181923938,"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."}}