{"id":"W2151862334","doi":"10.1373/clinchem.2011.165969","title":"Searching for New Biomarkers of Renal Diseases through Proteomics","year":2011,"lang":"en","type":"review","venue":"Clinical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Proteomics; Biomarker discovery; Biomarker; Nephrology; Medicine; Bioinformatics; The Renaissance; Intensive care medicine; Data science; Computational biology; Computer science; Internal medicine; Biology","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":[0.001196754,0.0009952589,0.00152374,0.002361557,0.0002341959,0.0009529605,0.0008070043,0.001277799,0.001735769],"category_scores_gemma":[0.001000881,0.000241749,0.0004999618,0.002008159,0.0005761994,0.001632535,0.0005927823,0.001477237,0.002341097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005314886,"about_ca_system_score_gemma":0.0008574774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004171137,"about_ca_topic_score_gemma":0.0004554171,"domain_scores_codex":[0.999662,0.00006406518,0.00003252355,0.00006618795,0.0001500272,0.00002510595],"domain_scores_gemma":[0.999476,0.0002190601,0.00007865711,0.00001673947,0.0001665354,0.00004296732],"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":[0.00008433538,0.0001321355,0.0008286023,0.01191749,0.0001513035,0.0002916653,0.00005009765,0.0004096593,0.01126317,0.004462948,0.01577169,0.9546369],"study_design_scores_gemma":[0.00004970309,0.0003426026,0.003639694,0.004314923,0.0002958197,0.004162514,0.0001389019,0.0006872126,0.01364326,0.008872421,0.9637836,0.00006927943],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003881335,0.9960787,0.001546758,0.0007063877,0.000223012,0.00001058016,0.00002083645,0.0000240059,0.001001608],"genre_scores_gemma":[0.002032981,0.9942724,0.002344156,0.0003977838,0.0002807271,0.00001721825,0.0000464175,0.000003072095,0.0006053401],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002361557,"threshold_uncertainty_score":0.006329119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1727725281485552,"score_gpt":0.462969325184376,"score_spread":0.2901967970358208,"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."}}