{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001090555,0.0007504681,0.001264721,0.00174511,0.0003956108,0.002446425,0.0005284658,0.001723836,0.002358692],"category_scores_gemma":[0.001442757,0.0002448875,0.0007876427,0.001622151,0.0008880871,0.002237164,0.001180023,0.002541101,0.001128374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00119036,"about_ca_system_score_gemma":0.001151317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001332687,"about_ca_topic_score_gemma":0.001731362,"domain_scores_codex":[0.9993793,0.0001871812,0.00004696408,0.0001321313,0.0001965663,0.00005786533],"domain_scores_gemma":[0.9992899,0.0002970983,0.00009683489,0.0000303847,0.000217293,0.00006853525],"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":[0.0003648617,0.0001170821,0.004254921,0.01820455,0.0005791744,0.001492898,0.0005443801,0.002425373,0.04230486,0.0448687,0.08909471,0.7957486],"study_design_scores_gemma":[0.00002035688,0.000174187,0.006193519,0.002630149,0.000255854,0.002593478,0.0003916026,0.002021463,0.010983,0.0300943,0.9445193,0.0001228236],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002507974,0.9774452,0.005170443,0.009466796,0.001608354,0.00001859405,0.0002910821,0.0001108046,0.00338062],"genre_scores_gemma":[0.01825572,0.9677621,0.005391772,0.003614131,0.002387195,0.00002713207,0.0003306264,0.00002608372,0.0022053],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002446425,"threshold_uncertainty_score":0.008636713,"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."}}