{"id":"W652457242","doi":"10.71781/31850","title":"Large scale identification of protein SUMOylation by mass spectrometry in HEK293 cells","year":2011,"lang":"en","type":"dissertation","venue":"Open MIND","topic":"Redox biology and oxidative stress","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"SUMO protein; Identification (biology); HEK 293 cells; Scale (ratio); Mass spectrometry; Chemistry; Computational biology; Biology; Chromatography; Biochemistry; Physics; Ubiquitin; Ecology; 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":[0.0006183435,0.0004928845,0.0008194022,0.0004774033,0.0005079446,0.0008328672,0.0006131054,0.0006829037,0.001603306],"category_scores_gemma":[0.0005053371,0.000293812,0.0006587458,0.000669732,0.0002644851,0.0004721189,0.0004648753,0.001210001,0.002733634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004493906,"about_ca_system_score_gemma":0.0003974347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008398608,"about_ca_topic_score_gemma":0.001009824,"domain_scores_codex":[0.999424,0.00006106011,0.00005504372,0.0001457612,0.000259641,0.0000545245],"domain_scores_gemma":[0.9997705,0.00006922235,0.00003341241,0.00004095644,0.00006203938,0.00002390249],"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":[0.00008825727,0.00002828034,0.0003227837,0.00005199458,0.00001282998,0.0000855002,0.00002994244,0.00008566376,0.9973555,0.0001326743,0.000152612,0.001654085],"study_design_scores_gemma":[0.00002703292,0.0001350215,0.005505158,0.00001267201,0.0000386528,0.0004754,0.00006703792,0.004971521,0.9784792,0.0002696231,0.009998229,0.00002046697],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7111392,0.005592017,0.2530203,0.001278245,0.0006572654,0.0006765608,0.01537734,0.002092844,0.01016628],"genre_scores_gemma":[0.5770196,0.009320126,0.3556485,0.0009996846,0.0001594524,0.001225622,0.02672516,0.0007872857,0.02811462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001603306,"threshold_uncertainty_score":0.005363584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01038481213301037,"score_gpt":0.2870819787887606,"score_spread":0.2766971666557502,"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."}}