{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007951595,0.000590817,0.0008947443,0.0001804303,0.0002199775,0.0002080546,0.0004042471,0.0006179519,0.00001068289],"category_scores_gemma":[0.001953178,0.0005113233,0.0003521334,0.0001383421,0.0003423231,0.00001225394,0.0004457431,0.0002046789,0.000005468182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000138117,"about_ca_system_score_gemma":0.0001887825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003231735,"about_ca_topic_score_gemma":0.00005579136,"domain_scores_codex":[0.9974949,0.00009007825,0.0004573864,0.001086347,0.0003010385,0.0005702654],"domain_scores_gemma":[0.9982942,0.0002461556,0.0003096449,0.0006637804,0.0003626026,0.0001235878],"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":[0.0002050146,0.00003742599,0.00006863203,0.0001221708,0.001121918,4.846008e-7,0.00002194044,1.095936e-7,0.04749906,0.000517067,0.949766,0.0006401821],"study_design_scores_gemma":[0.0008317484,0.0001340464,0.00006657455,0.00001479769,0.0005499097,0.00000116908,0.00004682603,0.000003891229,0.04194332,0.0007725903,0.9550707,0.0005644026],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.02440207,0.1387477,0.001233782,0.000165858,0.8292884,0.0009451041,0.004339071,0.00003981443,0.000838229],"genre_scores_gemma":[0.001269011,0.03908404,0.01013215,0.0001361642,0.9300151,0.0003003362,0.003536385,0.000184409,0.01534242],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.1007267,"threshold_uncertainty_score":0.9997339,"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."}}