{"id":"W2148342716","doi":"10.1074/mcp.r600004-mcp200","title":"Discovery of Urinary Biomarkers","year":2006,"lang":"en","type":"review","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":403,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Institutes of Health","keywords":"Urinary system; Proteomics; Biomarker discovery; Biomarker; Urine; Chemistry; Proteome; Exosome; Medicine; Internal medicine; Microvesicles; Biochemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001404173,0.0009799439,0.001273773,0.002832805,0.0003157149,0.002363882,0.0007033625,0.001570912,0.001758422],"category_scores_gemma":[0.002566537,0.0004171549,0.0007548436,0.001858337,0.000453553,0.001344085,0.001186209,0.001437653,0.001606017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005676575,"about_ca_system_score_gemma":0.0008428471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004150532,"about_ca_topic_score_gemma":0.0005433164,"domain_scores_codex":[0.9988319,0.0002730733,0.00008305535,0.0002988873,0.000411183,0.0001018578],"domain_scores_gemma":[0.999121,0.0002319342,0.000180915,0.0000853396,0.0003031276,0.00007765134],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005196291,0.000268771,0.02834245,0.005895623,0.0008375382,0.001968583,0.0002486214,0.001357325,0.2396704,0.01764541,0.02875657,0.674489],"study_design_scores_gemma":[0.000121832,0.001146085,0.02824503,0.002198708,0.000951271,0.006414109,0.0004157145,0.01340174,0.4310278,0.01872507,0.4971527,0.0001998903],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.1256061,0.5656018,0.2429679,0.01434927,0.006014246,0.0007421692,0.008855194,0.002547373,0.033316],"genre_scores_gemma":[0.555583,0.2072118,0.1929964,0.007980996,0.002956405,0.0007553369,0.008495001,0.0002700011,0.02375111],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002832805,"threshold_uncertainty_score":0.007426023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01631311989694141,"score_gpt":0.2853193313789505,"score_spread":0.2690062114820091,"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."}}