{"id":"W2245136302","doi":"","title":"Metabolic profiling of urine by H-1-NMR spectroscopy - A critical assessment of interpreting metabolite concentrations for normal and diabetes groups","year":2007,"lang":"en","type":"article","venue":"NPARC","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metabolite; Urine; Metabolite profiling; Diabetes mellitus; Chemistry; Metabolomics; Nuclear magnetic resonance spectroscopy; Chromatography; Internal medicine; Medicine; Endocrinology; Biochemistry; Stereochemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.003864444,0.0004947086,0.0008282994,0.002107826,0.0005880037,0.001198884,0.0004049784,0.000624578,0.001002589],"category_scores_gemma":[0.00558652,0.0002480744,0.0002411815,0.0008185161,0.0006768287,0.0006627233,0.0005321149,0.0005451233,0.0002790917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003076102,"about_ca_system_score_gemma":0.0003621068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007640619,"about_ca_topic_score_gemma":0.001022394,"domain_scores_codex":[0.9981819,0.0007522957,0.0002365096,0.0002228185,0.0005115227,0.00009481097],"domain_scores_gemma":[0.9981092,0.0007185439,0.0003066474,0.0001887453,0.0005091023,0.0001677471],"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":[0.005786066,0.0003068518,0.2850574,0.0008264675,0.0003286296,0.001896374,0.001013688,0.0005468225,0.5797172,0.0007012787,0.001200644,0.1226187],"study_design_scores_gemma":[0.00008323811,0.002605133,0.7900657,0.0001423241,0.0003356311,0.006864795,0.001208155,0.002638584,0.1891634,0.001090844,0.005706675,0.00009542624],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9650602,0.008637527,0.0208484,0.0006379725,0.0001594443,0.0001887752,0.00110665,0.000292298,0.003068779],"genre_scores_gemma":[0.9690663,0.002077197,0.02688788,0.0002541057,0.00009557341,0.000114113,0.0005749016,0.00007161368,0.0008584026],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003864444,"threshold_uncertainty_score":0.02043736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007036430210721759,"score_gpt":0.2973316367163791,"score_spread":0.2902952065056574,"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."}}