{"id":"W2791343722","doi":"10.3390/metabo8010011","title":"Metabolomics and Biomarkers for Drug Discovery","year":2018,"lang":"en","type":"editorial","venue":"Metabolites","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Metabolomics; Medicine; Drug discovery; Biomarker discovery; Drug development; Disease; Personalized medicine; Drug; Precision medicine; Intensive care medicine; Bioinformatics; Pharmacology; Pathology; Biology; Proteomics","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":[0.008469712,0.003430402,0.002629426,0.002841048,0.001670482,0.006667984,0.003051403,0.01380805,0.007707695],"category_scores_gemma":[0.02137126,0.0009084766,0.002327947,0.001246403,0.005029018,0.006497744,0.002310928,0.02791349,0.006783857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002846657,"about_ca_system_score_gemma":0.002726727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009794263,"about_ca_topic_score_gemma":0.001823777,"domain_scores_codex":[0.9938141,0.001978244,0.0009022148,0.0007342156,0.002346122,0.0002251982],"domain_scores_gemma":[0.9771229,0.01249822,0.00121527,0.0009429552,0.006381277,0.001839436],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005209496,0.0000160631,0.00004678169,0.0004660788,0.00004012253,0.0001442764,0.00002584935,0.00005279341,0.0001885876,0.00303466,0.972853,0.02307977],"study_design_scores_gemma":[0.00002653313,0.00002647551,0.0001257537,0.0003219206,0.00002477912,0.0003447419,0.00002735315,0.0001184399,0.000143932,0.005619058,0.9932034,0.00001765133],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00005448468,0.08576833,0.0005783623,0.1028054,0.8090835,0.00001789938,0.00005411628,0.00009645119,0.001541496],"genre_scores_gemma":[0.0008173482,0.05203458,0.0005706195,0.0405252,0.899073,0.00002065857,0.00003893574,0.00004751192,0.00687219],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.01380805,"threshold_uncertainty_score":0.04479265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005964476198368065,"score_gpt":0.2540681004040932,"score_spread":0.2481036242057252,"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."}}