{"id":"W3031784648","doi":"10.1371/journal.pone.0233639","title":"Urinary proteomics links keratan sulfate degradation and lysosomal enzymes to early type 1 diabetes","year":2020,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Advanced Glycation End Products research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; Mount Sinai Hospital; Lunenfeld-Tanenbaum Research Institute; Toronto General Hospital; University of Toronto; University Health Network","funders":"Breakthrough T1D Canada; Canadian Institutes of Health Research; Novo Nordisk; Kidney Foundation of Canada; Heart and Stroke Foundation of Canada; Krembil Foundation; Diabetes Canada","keywords":"Proteomics; KEGG; Proteome; Diabetes mellitus; Protein degradation; Medicine; Biology; Internal medicine; Bioinformatics; Chemistry; Endocrinology; Biochemistry; Transcriptome; Gene expression","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":[0.0006838933,0.0004235875,0.000450078,0.001246762,0.0003716511,0.0009042722,0.0001874793,0.0003132803,0.000879434],"category_scores_gemma":[0.001016592,0.0002233491,0.0004961203,0.00145318,0.0002111029,0.0002884428,0.0006958373,0.0004505535,0.0001514876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003520034,"about_ca_system_score_gemma":0.0003742983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002119699,"about_ca_topic_score_gemma":0.00199997,"domain_scores_codex":[0.9996501,0.00005831062,0.00004631073,0.00009889576,0.00008418153,0.00006219031],"domain_scores_gemma":[0.9991334,0.0001221469,0.0004446234,0.00005241016,0.0001346131,0.0001128248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001510265,0.0001274564,0.909699,0.0003551634,0.000466161,0.0009525259,0.000225964,0.0001887107,0.06773429,0.0001255139,0.000540417,0.0180746],"study_design_scores_gemma":[0.000007427531,0.0001044766,0.9921339,0.00003011925,0.0001276474,0.000873103,0.0000858987,0.0002849678,0.005690183,0.0001136231,0.0005418372,0.000006882341],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937405,0.004146777,0.0005975973,0.00008738453,0.00001359791,0.00000957219,0.0009457545,0.00003139576,0.000427425],"genre_scores_gemma":[0.9961615,0.001696822,0.0008428209,0.00009788223,0.00001924838,0.000009805269,0.0008895699,0.000008072728,0.0002742985],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002119699,"threshold_uncertainty_score":0.004214764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04212143799670224,"score_gpt":0.261243294885475,"score_spread":0.2191218568887728,"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."}}