{"id":"W2092174632","doi":"10.1021/ac3028307","title":"Development of Isotope Labeling LC–MS for Human Salivary Metabolomics and Application to Profiling Metabolome Changes Associated with Mild Cognitive Impairment","year":2012,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Institute on Aging; Canadian Institutes of Health Research","keywords":"Metabolome; Chemistry; Metabolomics; Profiling (computer programming); Chromatography; Computational biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001478614,0.001367879,0.0008182131,0.001539382,0.0005797827,0.0008107345,0.0006763696,0.001407358,0.00161806],"category_scores_gemma":[0.001256367,0.0006246733,0.0007078632,0.0008603869,0.0004053873,0.0005220524,0.0008105955,0.001138977,0.001120339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00037968,"about_ca_system_score_gemma":0.001057612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001353456,"about_ca_topic_score_gemma":0.003261423,"domain_scores_codex":[0.9992074,0.0001634189,0.00004241923,0.0002915964,0.0002383634,0.00005686322],"domain_scores_gemma":[0.9996287,0.00007579886,0.00004795794,0.00003778922,0.0001693429,0.00004049324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002168546,0.00006197551,0.001096735,0.0002555411,0.00006518787,0.0001442892,0.00005145952,0.0002834688,0.9667407,0.0003005335,0.0005730663,0.03021012],"study_design_scores_gemma":[0.00006392545,0.001042692,0.01180465,0.0001181406,0.0002010072,0.001815769,0.0001034842,0.01384366,0.9441518,0.0009492975,0.02574451,0.000161035],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1844171,0.01813732,0.767785,0.001222815,0.0007677228,0.002964114,0.0113747,0.005898308,0.007432916],"genre_scores_gemma":[0.2002967,0.008682787,0.7765074,0.001252291,0.0002325718,0.003146467,0.004467064,0.000488272,0.00492643],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00161806,"threshold_uncertainty_score":0.007819772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02079121243806255,"score_gpt":0.2894448056134633,"score_spread":0.2686535931754007,"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."}}