{"id":"W6903201762","doi":"10.1021/acs.analchem.2c01816.s001","title":"High-Coverage Quantitative Metabolomics of Human Urine:\\nEffects of Freeze–Thaw Cycles on the Urine Metabolome and Biomarker\\nDiscovery","year":2022,"lang":"en","type":"article","venue":"Figshare","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metabolome; Urine; Metabolomics; Metabolite; Biomarker; Quantitative analysis (chemistry); Urinalysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001635587,0.0007835885,0.0005320637,0.001183981,0.0009475856,0.0009918819,0.0005207408,0.000786704,0.001646714],"category_scores_gemma":[0.001437267,0.0003664234,0.0007587225,0.000920364,0.0007308662,0.000558833,0.001193273,0.0006993738,0.0006846149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004124158,"about_ca_system_score_gemma":0.0009728182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001999891,"about_ca_topic_score_gemma":0.005631323,"domain_scores_codex":[0.9986028,0.0002201157,0.00006395508,0.0004685941,0.0004996888,0.0001448318],"domain_scores_gemma":[0.9993147,0.0001173986,0.0001260502,0.0001483052,0.0002466082,0.0000469609],"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":[0.0007283716,0.000198526,0.01884152,0.0005738724,0.000488669,0.0002996278,0.0003457635,0.0007868282,0.9386383,0.0007560054,0.002362407,0.03598005],"study_design_scores_gemma":[0.00008091232,0.0007661242,0.1168475,0.0001244319,0.0004427589,0.00146599,0.0002261667,0.00708771,0.8488262,0.001113793,0.02286637,0.0001518504],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8471038,0.008720874,0.1246243,0.0008699995,0.0004327438,0.000645885,0.00935152,0.001690259,0.00656065],"genre_scores_gemma":[0.8314868,0.004595658,0.1408181,0.001654846,0.0002203013,0.0007738487,0.01359493,0.000613976,0.006241327],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001999891,"threshold_uncertainty_score":0.008649886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.028350930335588,"score_gpt":0.2708503428885399,"score_spread":0.2424994125529519,"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."}}