{"id":"W1972063169","doi":"10.1002/jms.981","title":"Mass spectrometric characterization of lipid‐modified peptides for the analysis of acylated proteins","year":2006,"lang":"en","type":"article","venue":"Journal of Mass Spectrometry","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Chemistry; Electrospray ionization; Mass spectrometry; Cysteine; Matrix-assisted laser desorption/ionization; Peptide; Tandem mass spectrometry; Time-of-flight mass spectrometry; Chromatography; Electrospray; Collision-induced dissociation; Ion; Ionization; Biochemistry; Organic chemistry; Desorption","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":[0.0007229797,0.0007875991,0.0004158124,0.001029229,0.0003945837,0.0003343184,0.0004972929,0.0006547655,0.001322284],"category_scores_gemma":[0.0008681927,0.0002161843,0.0003738272,0.0007172825,0.0002865326,0.0005541114,0.0002876513,0.0007462607,0.0007659704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002815338,"about_ca_system_score_gemma":0.0003742688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004685248,"about_ca_topic_score_gemma":0.0005952953,"domain_scores_codex":[0.9996331,0.00005823827,0.00002513377,0.00007371231,0.0001615588,0.00004820453],"domain_scores_gemma":[0.9995521,0.0001105099,0.00008503847,0.00002256234,0.0001516261,0.00007807909],"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":[0.00005254999,0.00001257708,0.0001100541,0.00004349904,0.000005173406,0.00006535911,0.00001843679,0.00006593458,0.9979715,0.00005445008,0.00002293235,0.001577549],"study_design_scores_gemma":[0.00002045597,0.000309551,0.005560113,0.00001770443,0.0000227262,0.0006848471,0.00004881469,0.003155265,0.9872207,0.0001655228,0.002773894,0.00002038761],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8759,0.005947544,0.1096982,0.0003472263,0.0001574997,0.0006679333,0.002861575,0.0004879761,0.003932043],"genre_scores_gemma":[0.7651305,0.005828273,0.2189034,0.0004998134,0.0001102759,0.0008714707,0.003788906,0.0002136635,0.004653678],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001322284,"threshold_uncertainty_score":0.00442344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01188445531370881,"score_gpt":0.249151243024968,"score_spread":0.2372667877112592,"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."}}