{"id":"W2096602351","doi":"10.1002/pmic.201000162","title":"Efficient extraction of nucleolar proteins for interactome analyses","year":2010,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Ubiquitin and proteasome pathways","field":"Biochemistry, Genetics and Molecular Biology","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Interactome; Nucleolus; Tandem affinity purification; Biology; Computational biology; Protein purification; Proteomics; Extraction (chemistry); Organelle; Biochemistry; Cell biology; Chemistry; Affinity chromatography; Chromatography; Enzyme; Cytoplasm","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.0002171553,0.0001039361,0.0001174244,0.00004583486,0.00005273023,0.00001465194,0.0001370877,0.0001363368,0.00003638064],"category_scores_gemma":[0.000230508,0.0000957341,0.000112689,0.0000535553,0.0000504145,0.000001926612,0.00004836364,0.0001253888,0.00000821398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005285202,"about_ca_system_score_gemma":0.00005196727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001225377,"about_ca_topic_score_gemma":0.00001792003,"domain_scores_codex":[0.9993479,0.0000194093,0.0001934269,0.0002105837,0.00007595435,0.0001527512],"domain_scores_gemma":[0.9994075,0.00001186443,0.0001408998,0.0002574841,0.0001330229,0.00004927971],"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":[0.0001528335,0.00009017041,0.0002514971,0.00004927665,0.00002442582,2.125776e-7,0.00003938675,0.00008389053,0.9980825,0.0001758584,0.0000389496,0.001010956],"study_design_scores_gemma":[0.0003273901,0.0002437412,0.0003046626,0.000009841045,0.00001259313,0.000008028234,0.00001865053,0.001453566,0.9921757,0.0001449543,0.005186379,0.0001145003],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9674875,0.00004692464,0.03088804,0.00005005972,0.0001608537,0.0009989315,0.00005311132,0.000011866,0.0003027156],"genre_scores_gemma":[0.9450191,0.000005281551,0.05433157,0.00003327429,0.000210465,0.0002191644,0.00005823545,0.00001943008,0.0001035341],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02344353,"threshold_uncertainty_score":0.3903923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0271061516116052,"score_gpt":0.3309360272033545,"score_spread":0.3038298755917493,"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."}}