{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001030963,0.0002445499,0.0002943391,0.0002409007,0.000179819,0.0005279668,0.0006709865,0.0004220329,0.0003761574],"category_scores_gemma":[0.001171625,0.0002478019,0.0001534049,0.0002722743,0.0005124041,0.0006983169,0.0004708973,0.0004042914,0.0001269635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004015069,"about_ca_system_score_gemma":0.0002209366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000484585,"about_ca_topic_score_gemma":0.0006567445,"domain_scores_codex":[0.9997565,0.00005559517,0.00001958142,0.00006353135,0.00007386632,0.00003092868],"domain_scores_gemma":[0.9994307,0.0002151098,0.0001530927,0.00009114292,0.00006740361,0.00004244077],"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":[0.0002094728,0.00002263135,0.00381646,0.0001287817,0.00001925284,0.0002366272,0.00009528252,0.0007482254,0.9874161,0.0008241303,0.00004459716,0.006438426],"study_design_scores_gemma":[0.00001687271,0.0001436975,0.01113008,0.00002343632,0.00003240978,0.0006675762,0.0002067341,0.008417665,0.9767513,0.001205915,0.001381579,0.00002273785],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9553563,0.004137789,0.03899829,0.0002554964,0.00003640978,0.00005530485,0.0001801393,0.00009447708,0.0008858013],"genre_scores_gemma":[0.9715631,0.003323176,0.02423491,0.0001816026,0.00001265108,0.00003883919,0.0001185727,0.00002337466,0.0005038191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001030963,"threshold_uncertainty_score":0.005452335,"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."}}