{"id":"W2137575882","doi":"10.1155/2004/579363","title":"Advancement of Biomarker Discovery and Validation through the HUPO Plasma Proteome Project","year":2004,"lang":"en","type":"article","venue":"Disease Markers","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Neurological Disorders and Stroke; National Institute of Diabetes and Digestive and Kidney Diseases; National Institute on Aging; Abbott Fund; Bristol-Myers Squibb Canada; National Institute of Environmental Health Sciences; University of Michigan; National Institutes of Health; Michigan Economic Development Corporation; Procter and Gamble; National Cancer Institute; National Institute on Alcohol Abuse and Alcoholism; Johnson Family Foundation; Bristol-Myers Squibb; Novartis; Pfizer","keywords":"Biomarker; Proteome; Biomarker discovery; Computational biology; Data science; Library science; Proteomics; Political science; Bioinformatics; Biology; Computer science; Genetics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006348467,0.0001296541,0.0001006474,0.00001926936,0.0001152537,0.00003128017,0.0001369336,0.00003373883,0.00002992447],"category_scores_gemma":[0.00003685078,0.00009633123,0.00006106591,0.0001185452,0.0001477103,0.000240224,0.00007871094,0.00006811765,0.000001285397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006189211,"about_ca_system_score_gemma":0.00007890971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004909471,"about_ca_topic_score_gemma":0.000001589764,"domain_scores_codex":[0.9992409,0.00001080788,0.0002013427,0.0002441209,0.0001531827,0.0001495813],"domain_scores_gemma":[0.9993962,0.00003148472,0.0001363186,0.000361532,0.0000310421,0.00004343756],"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":[0.006663714,0.002260193,0.01603319,0.003796973,0.0007396573,0.00003704712,0.00195711,0.0041963,0.7333548,0.169167,0.001664702,0.06012931],"study_design_scores_gemma":[0.003989897,0.0001101129,0.005626404,0.0007505405,0.0003349843,0.00001126392,0.0016552,0.001092734,0.8119994,0.1060533,0.06723858,0.001137638],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9199651,0.0002798987,0.07117329,0.00204303,0.00002454081,0.001458435,0.000254206,0.0001234252,0.004678053],"genre_scores_gemma":[0.9880299,0.0003114466,0.01010482,0.00005478166,0.00002344256,0.0009566344,0.0001015177,0.00002156817,0.000395912],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0786446,"threshold_uncertainty_score":0.3928273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01792852214372989,"score_gpt":0.2909472552616769,"score_spread":0.273018733117947,"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."}}