{"id":"W2096845911","doi":"10.1074/mcp.m113.031757","title":"Global Proteome Analysis Identifies Active Immunoproteasome Subunits in Human Platelets","year":2014,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Platelet Disorders and Treatments","field":"Medicine","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Princess Margaret Cancer Centre; Vancouver Hospital and Health Sciences Centre; University Health Network; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Centre for Blood Research, University of British Columbia","keywords":"Proteasome; Platelet; Proteome; Protein subunit; Cell biology; Platelet activation; Major histocompatibility complex; Function (biology); Biology; Chemistry; Immune system; Biochemistry; Immunology; 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":[0.0002117749,0.0002221068,0.0003316139,0.001029375,0.000198543,0.0004983836,0.0001087781,0.0002184253,0.0006560461],"category_scores_gemma":[0.0003988747,0.0001142936,0.0004250021,0.001083616,0.0001397134,0.0001841492,0.0003075175,0.0002781895,0.0002405885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001421417,"about_ca_system_score_gemma":0.0001700722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005338658,"about_ca_topic_score_gemma":0.0005357085,"domain_scores_codex":[0.9997987,0.0000228937,0.00002611161,0.00007205702,0.00005300338,0.00002717349],"domain_scores_gemma":[0.9998558,0.00003696116,0.00004534795,0.00001893628,0.00002399301,0.00001910592],"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":[0.001333192,0.00008349036,0.08328865,0.000258965,0.0003111786,0.0007537872,0.000229794,0.0008409977,0.8884496,0.0002021167,0.0008117876,0.02343648],"study_design_scores_gemma":[0.00005499186,0.0005877782,0.8104315,0.00003626683,0.0004155196,0.004952296,0.000371189,0.005101928,0.1704568,0.0005290607,0.007026942,0.00003575472],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928824,0.001396095,0.001601049,0.00005846034,0.000005750579,0.00001644861,0.003616984,0.00002917023,0.0003935571],"genre_scores_gemma":[0.9827435,0.001070592,0.00353237,0.00007173048,0.00001324386,0.00003871094,0.01219049,0.00001165509,0.0003276654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001029375,"threshold_uncertainty_score":0.002194643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006976441720665827,"score_gpt":0.2470393564991119,"score_spread":0.2400629147784461,"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."}}