{"id":"W4377023338","doi":"10.3389/fmolb.2023.1120376","title":"Metabolomics of infectious diseases in the era of personalized medicine","year":2023,"lang":"en","type":"review","venue":"Frontiers in Molecular Biosciences","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Metabolomics; Personalized medicine; Precision medicine; Omics; Disease; Genomics; Computational biology; Drug development; Medicine; Bioinformatics; Infectious disease (medical specialty); Systems biology; Translational medicine; Biology; Metabolome; Drug; Pharmacology; Genetics; Genome; Gene; 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":[],"consensus_categories":[],"category_scores_codex":[0.0009107399,0.0003065274,0.001483022,0.0004660181,0.00003947092,0.000009966863,0.0008251229,0.0001883733,0.000003345205],"category_scores_gemma":[0.0006707498,0.0001911184,0.0003552147,0.001651902,0.0009982676,0.000003599664,0.0001758421,0.0002183831,4.224413e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000192659,"about_ca_system_score_gemma":0.0002161139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006940794,"about_ca_topic_score_gemma":0.00003440152,"domain_scores_codex":[0.9977508,0.0003722705,0.00071683,0.0004990118,0.0003688984,0.0002921982],"domain_scores_gemma":[0.9989418,0.00005632539,0.0004754622,0.0004370079,0.00005206112,0.00003729327],"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":[0.0002115497,0.001702578,0.01973589,0.03460962,0.003824059,0.0002316496,0.002659783,0.0001046291,0.02045634,0.01845394,0.01956324,0.8784467],"study_design_scores_gemma":[0.001398792,0.0008372731,0.0006556725,0.003962069,0.001312707,0.00002157002,0.002325651,0.00002741484,0.0008413951,0.002740091,0.9849934,0.0008839882],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001929883,0.9958471,0.0007585669,0.0000664932,0.0006186338,0.000494318,0.0000831012,0.000004478765,0.0001974376],"genre_scores_gemma":[0.001379494,0.9975299,0.0007798694,0.00005127349,0.00005707117,0.00007189475,0.00006717315,0.00002153434,0.00004180189],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9654301,"threshold_uncertainty_score":0.7793581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01914554504731007,"score_gpt":0.3084080173986118,"score_spread":0.2892624723513018,"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."}}