{"id":"W2032137662","doi":"10.1021/ac8001963","title":"Nonuniform Isotope Patterns Produced by Collision-Induced Dissociation of Homogeneously Labeled Ubiquitin: Implications for Spatially Resolved Hydrogen/Deuterium Exchange ESI-MS Studies","year":2008,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Chemistry; Deuterium; Dissociation (chemistry); Collision-induced dissociation; Ion; Fragmentation (computing); Mass spectrometry; Tandem mass spectrometry; Ubiquitin; Isotope; Kinetic isotope effect; Hydrogen–deuterium exchange; Analytical Chemistry (journal); Hydrogen; Isotopic labeling; Chromatography; Physical chemistry; Biochemistry; Atomic physics; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001783538,0.0003330794,0.0005857616,0.00004354964,0.000312867,0.00002470216,0.0004699171,0.0002929704,0.0005642168],"category_scores_gemma":[0.0003357698,0.0003329922,0.0002724962,0.0003823412,0.0001207789,0.00007694791,0.0001500782,0.0002160407,0.00000392159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002543054,"about_ca_system_score_gemma":0.000107048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005841912,"about_ca_topic_score_gemma":0.00001276379,"domain_scores_codex":[0.9978041,0.00001153889,0.0007408696,0.0006572689,0.000309214,0.0004770132],"domain_scores_gemma":[0.9977737,0.0002372144,0.0004091821,0.0008620261,0.0005328507,0.0001850133],"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":[0.00003992231,0.0004217364,0.004202469,0.000548894,0.0002285283,0.000002443189,0.0001055839,0.000002129656,0.9902436,0.0003010252,0.00350164,0.0004020522],"study_design_scores_gemma":[0.0005478295,0.00005996652,0.0003374376,0.00005833602,0.0001508475,0.00001441845,0.0000661642,0.0005942469,0.9941306,0.0004711549,0.003201238,0.0003678284],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913163,0.000222744,0.000963743,0.001961295,0.0000135012,0.0004903575,0.001125008,0.0002076726,0.003699349],"genre_scores_gemma":[0.9942565,0.0004450474,0.00061165,0.00007452681,0.0002527409,0.0008202451,0.0007538485,0.00005638253,0.002729057],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003886956,"threshold_uncertainty_score":0.9999122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0396194727761867,"score_gpt":0.3061309934264885,"score_spread":0.2665115206503018,"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."}}