{"id":"W2040475896","doi":"10.1021/ac010974p","title":"Low-Energy Collision-Induced Dissociation Fragmentation Analysis of Cysteinyl-Modified Peptides","year":2002,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Pacific Northwest National Laboratory; Biological and Environmental Research; National Cancer Institute; Canadian Institute for Theoretical Astrophysics; Battelle; U.S. Department of Energy","keywords":"Chemistry; Fragmentation (computing); Collision; Dissociation (chemistry); Collision-induced dissociation; Computational chemistry; Chemical physics; Photochemistry; Tandem mass spectrometry; Mass spectrometry; Chromatography; Organic chemistry; Computer security","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008175837,0.0001796177,0.0003940941,0.0001006692,0.00008712369,0.00003528302,0.0002421755,0.0002269912,0.009211509],"category_scores_gemma":[0.0001082986,0.0001834474,0.0003220027,0.001293048,0.00005455708,0.00006697208,0.00004932457,0.0001506019,0.000007320697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001619324,"about_ca_system_score_gemma":0.00001294328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008278466,"about_ca_topic_score_gemma":0.000006359324,"domain_scores_codex":[0.9984819,0.000009409663,0.0005058826,0.0003684842,0.0003979394,0.0002363356],"domain_scores_gemma":[0.9988347,0.0001445391,0.0002633337,0.0004955087,0.0001323557,0.000129565],"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":[0.0000185429,0.0007789881,0.003312128,0.0001883048,0.001472166,0.000005504228,0.00008065793,0.0004368556,0.9781955,0.0121326,0.001484597,0.001894087],"study_design_scores_gemma":[0.0002554037,0.00001238292,0.0004924401,0.00002948466,0.001196115,0.000001102404,0.0001089793,0.1415662,0.8548512,0.0008249339,0.0004049439,0.0002568162],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8572122,0.00003561654,0.001298548,0.000214425,0.000005651496,0.00003229426,0.0000697444,0.0001140251,0.1410175],"genre_scores_gemma":[0.9939103,0.00005242013,0.000214853,0.00003449872,0.00007067135,0.00003927302,0.0002978538,0.00001664446,0.005363484],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1411293,"threshold_uncertainty_score":0.9916942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01770638841776081,"score_gpt":0.2669288689963678,"score_spread":0.249222480578607,"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."}}