{"id":"W2558103134","doi":"10.1021/acs.jproteome.6b00825","title":"Opposite Electron-Transfer Dissociation and Higher-Energy Collisional Dissociation Fragmentation Characteristics of Proteolytic K/R(X)<sub><i>n</i></sub> and (X)<i><sub>n</sub></i>K/R Peptides Provide Benefits for Peptide Sequencing in Proteomics and Phosphoproteomics","year":2016,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Horizon 2020; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; European Molecular Biology Organization","keywords":"Electron-transfer dissociation; Fragmentation (computing); Dissociation (chemistry); Chemistry; Electron-capture dissociation; Atomic physics; Electron transfer; Crystallography; Mass spectrometry; Physics; Tandem mass spectrometry; Physical chemistry; Biology; Chromatography","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":[0.001999663,0.0002696289,0.0005241988,0.0004264136,0.0002661225,0.000145303,0.0002014452,0.0002910184,0.000008354694],"category_scores_gemma":[0.0004951057,0.0002264253,0.00009592908,0.0004299993,0.0001971831,0.0005348066,0.00010006,0.0005204558,2.974028e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001033463,"about_ca_system_score_gemma":0.00042076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005005452,"about_ca_topic_score_gemma":0.00004809924,"domain_scores_codex":[0.9970467,0.0001229199,0.001029032,0.0004263968,0.0008258146,0.000549103],"domain_scores_gemma":[0.9975951,0.0005098387,0.0006484422,0.0001942956,0.0008488593,0.0002034252],"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":[0.0005750783,0.0001114108,0.006747238,0.000533756,0.00005941128,0.000003008756,0.0001825671,0.000003601911,0.9768588,0.00384347,0.00002435059,0.01105729],"study_design_scores_gemma":[0.001531217,0.0005189694,0.01908582,0.0008808413,0.0000415217,0.00002840825,0.00006531835,0.0002868975,0.96614,0.01112405,0.00005108086,0.000245897],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926335,0.0002475466,0.004116705,0.001071972,0.00001811815,0.001680946,0.0001686625,0.00002025989,0.00004233918],"genre_scores_gemma":[0.9913065,0.002831958,0.004642239,0.00001473025,0.0001988322,0.0008790094,0.00002736334,0.00005532673,0.00004405294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01233859,"threshold_uncertainty_score":0.9233354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02340798294110194,"score_gpt":0.2848064578476508,"score_spread":0.2613984749065488,"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."}}