{"id":"W4252140292","doi":"10.1146/annurev.genom.4.070802.110305","title":"PROTEOMICS","year":2004,"lang":"en","type":"review","venue":"Annual Review of Genomics and Human Genetics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":175,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Danmarks Grundforskningsfond; Canadian Institutes of Health Research; National Research Foundation","keywords":"Proteomics; Computational biology; Genomics; Systems biology; Biology; Functional genomics; Data science; Protein expression; Computer science; Genome; Genetics; Gene","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001380633,0.001886447,0.001899379,0.003326077,0.001101053,0.003197779,0.002950714,0.002552096,0.02785653],"category_scores_gemma":[0.0008184949,0.0006267059,0.0007512207,0.00304115,0.0009484853,0.002224821,0.001833203,0.002656089,0.104543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00150911,"about_ca_system_score_gemma":0.001411273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001010736,"about_ca_topic_score_gemma":0.001301114,"domain_scores_codex":[0.9990782,0.0001129085,0.00004450343,0.0002479287,0.0004197227,0.00009677967],"domain_scores_gemma":[0.99965,0.0000390888,0.00002501748,0.00006283487,0.0001526735,0.00007044162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001362404,0.0001118058,0.0002493096,0.00334821,0.0001092893,0.0004369064,0.00009257047,0.0002582025,0.03522777,0.02197972,0.2627068,0.6753433],"study_design_scores_gemma":[0.0000102672,0.0000275921,0.0001631757,0.0001401959,0.00001072896,0.0007271032,0.00001477995,0.00006178885,0.005085541,0.002367259,0.9913811,0.00001044021],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001998409,0.7392467,0.05441003,0.005640763,0.008306264,0.0006239437,0.003561913,0.002993234,0.1832188],"genre_scores_gemma":[0.01944048,0.6464869,0.05262768,0.007168651,0.00351401,0.0009489893,0.01188173,0.0004735035,0.2574581],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02785653,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02553004981714153,"score_gpt":0.3482605665904682,"score_spread":0.3227305167733266,"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."}}