{"id":"W4307840280","doi":"10.1021/acs.jproteome.2c00498","title":"The 2022 Report on the Human Proteome from the HUPO Human Proteome Project","year":2022,"lang":"en","type":"review","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"U.S. National Library of Medicine; National Institute of Environmental Health Sciences; National Institute of Allergy and Infectious Diseases; Division of Biological Infrastructure; National Institute of General Medical Sciences; National Cancer Institute; NIH Office of the Director; Australian Research Council; National Science Foundation; Canadian Institutes of Health Research; Stand Up To Cancer; Farmer Family Foundation; Knut och Alice Wallenbergs Stiftelse; University of California, San Diego; Swiss Institute of Bioinformatics; National Institute on Aging; Canada Research Chairs; National Institutes of Health","keywords":"Human proteome project; Proteome; Computational biology; Proteomics; Biology; Bioinformatics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001931831,0.001116583,0.000712337,0.002934441,0.0002963778,0.001444227,0.0007291712,0.001043261,0.007420758],"category_scores_gemma":[0.001868143,0.0003671115,0.0004782478,0.003302537,0.0003284064,0.001414535,0.001297475,0.002020294,0.01087579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001078776,"about_ca_system_score_gemma":0.004345028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004070681,"about_ca_topic_score_gemma":0.003818165,"domain_scores_codex":[0.99944,0.00004931409,0.00004436104,0.00006012418,0.0003315738,0.00007464713],"domain_scores_gemma":[0.9990582,0.0001375654,0.0001164742,0.00003137164,0.0004911457,0.0001652956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001154583,0.00003728041,0.0002299524,0.004043842,0.00005393602,0.0001283156,0.0000303312,0.0001703553,0.002803616,0.004261278,0.5647679,0.4233577],"study_design_scores_gemma":[0.000007478524,0.00002472746,0.0005238882,0.0004680606,0.00001697132,0.00009011144,0.0000077148,0.00002543328,0.0005620931,0.0003929956,0.9978731,0.000007467819],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0009740859,0.9233406,0.003709096,0.009545338,0.01164943,0.0002391528,0.009532598,0.0004332339,0.04057653],"genre_scores_gemma":[0.003335566,0.9447585,0.004450369,0.005955732,0.002412494,0.000253841,0.014831,0.0001345708,0.02386795],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.007420758,"threshold_uncertainty_score":0.02482486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2741739740424196,"score_gpt":0.5060848494545866,"score_spread":0.231910875412167,"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."}}