{"id":"W2264357120","doi":"10.1158/1557-3125.myc15-a12","title":"Abstract A12: Identifying MYC post-translational modifications using a mass spectrometry-based approach","year":2015,"lang":"en","type":"article","venue":"Molecular Cancer Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto","funders":"","keywords":"Phosphorylation; SUMO protein; Acetylation; Threonine; Ubiquitin; Serine; Mutant; Immunoprecipitation; HEK 293 cells; Biology; Carcinogenesis; Chemistry; Cell biology; Proteasome; Cancer research; Biochemistry; Gene","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":[0.000519152,0.0001579281,0.0001494726,0.0002536817,0.0002748662,0.0001298628,0.0004602073,0.000135842,0.0002684044],"category_scores_gemma":[0.00007145263,0.0001758248,0.00009871684,0.0007102965,0.0001489733,0.0001207117,0.0000584824,0.0006391847,0.00002052938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000435034,"about_ca_system_score_gemma":0.0006499545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005701702,"about_ca_topic_score_gemma":0.000008425486,"domain_scores_codex":[0.9978275,0.0000376077,0.000266256,0.000495069,0.0008870102,0.000486511],"domain_scores_gemma":[0.9984419,0.00004851447,0.00007884926,0.0005988253,0.0006084191,0.0002234723],"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":[0.00003271515,0.00009195685,0.0001757725,0.00007976013,0.00002320803,0.000007821856,0.00006293895,0.0130254,0.9820824,0.003980378,0.00006489231,0.0003727874],"study_design_scores_gemma":[0.0005364052,0.00001252142,0.00008769651,0.00006449799,0.00001734802,0.000005717477,0.0002125224,0.03062146,0.9528436,0.01391985,0.001375657,0.0003027016],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1711165,0.0006996997,0.815179,0.0007184059,0.00001407792,0.0003795566,0.0001489619,0.0001308734,0.01161297],"genre_scores_gemma":[0.7368114,0.00001500266,0.262242,0.00003569459,0.00007338238,0.0005245327,0.000123476,0.00004598808,0.0001285023],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5656949,"threshold_uncertainty_score":0.7169926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1679992184702097,"score_gpt":0.4334811883265067,"score_spread":0.2654819698562969,"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."}}