{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001663468,0.0004564518,0.001673852,0.00005889215,0.0001223515,0.00002056883,0.0005131402,0.0003053659,0.00009606167],"category_scores_gemma":[0.00001540584,0.0004163815,0.000415645,0.0001013826,0.0001636903,0.00002418503,0.0003005654,0.0003975612,0.00001006585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001274368,"about_ca_system_score_gemma":0.0002819292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006044882,"about_ca_topic_score_gemma":0.000001051661,"domain_scores_codex":[0.9980205,0.00001514503,0.001113385,0.0004686183,0.0001321587,0.0002501737],"domain_scores_gemma":[0.99803,0.00002801017,0.0009215198,0.0007742104,0.0001303041,0.000115957],"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":[5.49772e-7,0.00004805101,4.709065e-7,0.4167552,0.00007047415,0.000001538199,0.00002744303,3.772165e-7,0.00005562849,0.008391442,0.0001382357,0.5745106],"study_design_scores_gemma":[0.00006037255,0.00003047425,6.969036e-8,0.09475744,0.0005189592,0.00002535662,0.000005404888,2.423411e-7,0.000147025,0.002639948,0.9014485,0.0003662416],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00001110945,0.9958399,0.0003602875,0.0000131786,0.00001350995,0.001013001,0.000719661,0.0000363433,0.001993002],"genre_scores_gemma":[0.000001316741,0.9714317,0.0273069,0.00005268135,0.0001308579,0.0003327764,0.0003203043,0.00009903302,0.0003243755],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9013102,"threshold_uncertainty_score":0.9998288,"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."}}