{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002115678,0.0004567306,0.001658054,0.00001470283,0.0000812822,0.00001974575,0.0009310053,0.0008817771,0.0002977788],"category_scores_gemma":[0.0006843653,0.0004099965,0.001502382,0.0001281577,0.000314309,0.00005488365,0.0002780704,0.000786613,0.000006985486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007450633,"about_ca_system_score_gemma":0.0007562688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007918235,"about_ca_topic_score_gemma":1.688631e-7,"domain_scores_codex":[0.9970831,0.00001941151,0.001626687,0.000781245,0.000130466,0.0003590755],"domain_scores_gemma":[0.9965885,0.0007422018,0.001202002,0.001105237,0.00008750335,0.0002745244],"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":[0.00006969395,0.0002608143,0.00001985886,0.04131861,0.0004237616,0.000001785931,0.000007065632,1.800237e-7,0.0002458488,0.000705116,0.002946863,0.9540004],"study_design_scores_gemma":[0.0002908093,0.00001760761,5.693528e-8,0.006561307,0.0006951425,0.000007638742,0.000004076892,0.000006624026,0.01006613,0.01102727,0.9708991,0.0004242434],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00003225678,0.9775874,0.01417721,0.00002341687,0.00003590893,0.001097834,0.0009746145,0.0001972503,0.005874085],"genre_scores_gemma":[0.000003667282,0.8906528,0.1049031,0.00001080874,0.0007769403,0.000814879,0.0006953395,0.0001103467,0.002032148],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9679523,"threshold_uncertainty_score":0.9998352,"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."}}