{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003365674,0.000424348,0.0008965761,0.0004505854,0.00015387,0.00008583235,0.0002519631,0.0002771642,0.00007081614],"category_scores_gemma":[0.00009211095,0.0004149768,0.0003842849,0.001472103,0.0001137804,0.0001471319,0.0001260668,0.0003296268,0.00006191614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003139721,"about_ca_system_score_gemma":0.0000832363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006962863,"about_ca_topic_score_gemma":0.0001593747,"domain_scores_codex":[0.9974999,0.0001840158,0.0005207037,0.0006859303,0.0004900228,0.000619434],"domain_scores_gemma":[0.9986894,0.00001294048,0.0002100085,0.0007616242,0.0001304421,0.0001956287],"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":[0.0004675264,0.001400873,0.02083857,0.0001641826,0.002573998,0.003993267,0.0002955463,0.0006518282,0.9663625,0.0009837728,0.00001413632,0.002253788],"study_design_scores_gemma":[0.004390261,0.0004378574,0.0291349,0.00009876434,0.001018696,0.00009216207,0.00007340022,0.00196074,0.9576852,0.004393884,0.0001884997,0.0005255981],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875195,0.0002532474,0.007660384,0.0001855082,0.00005736814,0.002436709,0.00002814961,0.00009094507,0.001768178],"genre_scores_gemma":[0.9973114,0.00001325311,0.001373113,0.0001422034,0.00003046513,0.0003274977,0.000423597,0.00005002856,0.0003284783],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009791853,"threshold_uncertainty_score":0.9998302,"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."}}