{"id":"W4390937479","doi":"10.1021/acs.jproteome.3c00591","title":"The 2023 Report on the Proteome from the HUPO Human Proteome Project","year":2024,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Institute of Allergy and Infectious Diseases; National Cancer Institute; National Institute on Aging; University of California, San Diego; Farmer Family Foundation; Knut och Alice Wallenbergs Stiftelse; Swiss Institute of Bioinformatics; U.S. National Library of Medicine; Cycle for Survival; Leidos; National Institutes of Health; Canada Research Chairs; Neuroendocrine Tumor Research Foundation; Division of Biological Infrastructure; National Institute of General Medical Sciences; Office of the Director; National Institute of Environmental Health Sciences; Memorial Sloan-Kettering Cancer Center; Canadian Institutes of Health Research; National Science Foundation","keywords":"Human proteome project; Proteome; Human Protein Atlas; Proteomics; Computational biology; Biology; Bioinformatics; Protein expression; Genetics; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.008229236,0.0002968271,0.0003132789,0.0001678592,0.002048664,0.0009204457,0.002260161,0.0002103202,0.0003807687],"category_scores_gemma":[0.001472354,0.0001285715,0.0003445358,0.001047696,0.0006475106,0.0002259485,0.000450429,0.004485918,0.0001068974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003962784,"about_ca_system_score_gemma":0.0007980933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002328224,"about_ca_topic_score_gemma":0.00002360242,"domain_scores_codex":[0.9952674,0.000360548,0.001076446,0.0005055582,0.00202031,0.0007697517],"domain_scores_gemma":[0.9952557,0.001762392,0.0005045278,0.001584534,0.0007596929,0.0001331691],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002512862,0.0001930421,0.0001141434,0.0001832328,0.0003073508,0.0005717073,0.0005215607,0.00001153351,0.9290008,0.01636,0.04808509,0.004400239],"study_design_scores_gemma":[0.0002821654,0.000377787,0.0001399607,0.001146899,0.0000338234,0.0005047105,0.0007446033,0.0001492791,0.4183431,0.1093104,0.4686748,0.0002925434],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7662551,0.004632458,0.00528989,0.1652189,0.0004061688,0.01799898,0.0002627596,0.0004659078,0.03946989],"genre_scores_gemma":[0.9028612,0.001543744,0.01194982,0.0002348237,0.008209048,0.01816356,0.00004220576,0.0003651843,0.05663045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5106577,"threshold_uncertainty_score":0.9992505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1226252390148985,"score_gpt":0.4533816358879416,"score_spread":0.330756396873043,"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."}}