{"id":"W2099415899","doi":"10.1074/mcp.m110.000687","title":"Highly Reproducible Label Free Quantitative Proteomic Analysis of RNA Polymerase Complexes","year":2010,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":88,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of General Medical Sciences","keywords":"Quantitative proteomics; Transcription factor II F; Proteomics; Computational biology; Peptide; Biology; RNA; Molecular biology; Chemistry; RNA polymerase; Biochemistry; Gene","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003983783,0.0004101603,0.0006916145,0.0003423262,0.0001929476,0.00005657982,0.001033405,0.0003052409,0.0002922487],"category_scores_gemma":[0.0002636925,0.0004389667,0.0003829438,0.00110823,0.0003233743,0.0001262796,0.0003498839,0.0007460208,0.00001493549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005651794,"about_ca_system_score_gemma":0.0001156085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003344262,"about_ca_topic_score_gemma":0.00003874725,"domain_scores_codex":[0.997306,0.00004353599,0.0007809359,0.001011918,0.0003848844,0.0004726742],"domain_scores_gemma":[0.9959553,0.00004854472,0.0006312786,0.002915043,0.0002785703,0.000171278],"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":[0.00006826515,0.0002720816,0.0003254269,0.00008262041,0.0004878312,0.0000159061,0.00009887443,0.0002322065,0.9634402,0.0346622,0.00003479064,0.0002795517],"study_design_scores_gemma":[0.0005812595,0.0000540929,0.00002605437,0.00002416767,0.0005451546,0.000003925384,0.00003481268,0.00485364,0.9825146,0.01065128,0.0002472393,0.0004638078],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8415831,0.0001644883,0.1548936,0.0003095281,0.00003362632,0.0008745983,0.0003244332,0.000203807,0.00161284],"genre_scores_gemma":[0.6113729,0.00001739544,0.3874924,0.00004911215,0.0000364796,0.0004840021,0.0002296738,0.00007014364,0.0002478339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2325988,"threshold_uncertainty_score":0.9998062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01422916616338697,"score_gpt":0.2764352137422211,"score_spread":0.2622060475788341,"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."}}