{"id":"W1986613969","doi":"10.1021/ac801745d","title":"High-Sensitivity NanoLC−MS/MS Analysis of Urinary Desmosine and Isodesmosine","year":2009,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Caveolin-1 and cellular processes","field":"Biochemistry, Genetics and Molecular Biology","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Institute for Research in Immunology and Cancer","funders":"National Institute on Drug Abuse; National Heart, Lung, and Blood Institute; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health; Canadian Institutes of Health Research; Merck Canada; University of Utah","keywords":"Desmosine; Chemistry; COPD; Elastin; Urine; Chromatography; Liquid chromatography–mass spectrometry; Urinary system; Internal medicine; Mass spectrometry; Biochemistry; Pathology; Medicine; Amino acid","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001662469,0.0001992228,0.0003906527,0.00004247125,0.00005182122,0.00001770156,0.0001023218,0.000222743,0.00008991644],"category_scores_gemma":[0.0001286298,0.0001912608,0.0001965813,0.0003892816,0.0001812296,0.000005911826,0.00007711038,0.0001120638,0.000001386922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001212728,"about_ca_system_score_gemma":0.00004220703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003906559,"about_ca_topic_score_gemma":0.00001375101,"domain_scores_codex":[0.9988648,0.00001881649,0.0002779236,0.0004352913,0.0001600075,0.0002431744],"domain_scores_gemma":[0.9992222,0.00002741127,0.00009017631,0.0003850129,0.0001304204,0.0001448145],"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":[0.000127803,0.0003022465,0.007206651,0.00004810433,0.0005691365,0.00003619614,0.000008053445,0.00009136587,0.9905629,0.0001042585,0.0001830026,0.0007603153],"study_design_scores_gemma":[0.0003816391,0.0001575667,0.02555637,0.00001453488,0.000989859,0.00004981854,0.00001326389,0.001444333,0.9701796,0.00008437722,0.0008707064,0.0002579094],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963322,0.0008780336,0.0008262366,0.0002569754,0.00001169568,0.00003679766,0.00002806073,0.00001912694,0.001610857],"genre_scores_gemma":[0.998294,0.0002578659,0.0002053958,0.0001906656,0.0001238484,0.000001484538,0.0001625657,0.00001599641,0.0007481817],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02038325,"threshold_uncertainty_score":0.7799388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005903756085653734,"score_gpt":0.2332546009164805,"score_spread":0.2273508448308268,"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."}}