{"id":"W4295210979","doi":"10.3390/diagnostics12092184","title":"A Comprehensive 2D-LC/MS/MS Profile of the Normal Human Urinary Metabolome","year":2022,"lang":"en","type":"article","venue":"Diagnostics","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs","funders":"National Natural Science Foundation of China","keywords":"Metabolome; Urine; Urinary system; Metabolism; Metabolomics; Metabolite; Metabolic pathway; Chemistry; Biochemistry; Chromatography; Biology; Endocrinology","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":[0.000570852,0.0008258723,0.0007155403,0.002561945,0.0005509127,0.0006562724,0.0002270916,0.0005833794,0.001093646],"category_scores_gemma":[0.0007827764,0.000208297,0.0005526678,0.001486031,0.0003110998,0.0004424797,0.0005948483,0.000346321,0.0003743305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002821979,"about_ca_system_score_gemma":0.0006433964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00149212,"about_ca_topic_score_gemma":0.003178801,"domain_scores_codex":[0.9995447,0.00008274937,0.00003663593,0.000160504,0.0001180223,0.00005749554],"domain_scores_gemma":[0.9997432,0.00005271813,0.00005277921,0.00002826754,0.00009306604,0.00002995776],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0007574725,0.0001023341,0.05866757,0.0008292462,0.0004708628,0.0007582335,0.0001780715,0.0006015697,0.8635796,0.000373029,0.001451288,0.07223067],"study_design_scores_gemma":[0.00006876431,0.001170732,0.4170917,0.0002073285,0.001036332,0.00883535,0.0005762097,0.009312555,0.5154726,0.00220155,0.04377513,0.0002516419],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.849217,0.04283675,0.07851177,0.0007960106,0.0002999325,0.0004019236,0.02119343,0.001232365,0.005510829],"genre_scores_gemma":[0.8984329,0.009477334,0.07908534,0.0009129278,0.0001561347,0.0002592096,0.00941154,0.0001719174,0.002092695],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002561945,"threshold_uncertainty_score":0.003658652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01314715746474743,"score_gpt":0.2482764266092252,"score_spread":0.2351292691444778,"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."}}