{"id":"W4393318472","doi":"10.1021/jasms.4c00015","title":"Optimized <sup>13</sup> C-TrEnDi Enhances the Sensitivity of Plasmenyl Ether Glycerophospholipids and Demonstrates Compatibility with Other Derivatization Strategies","year":2024,"lang":"en","type":"article","venue":"Journal of the American Society for Mass Spectrometry","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Carleton University; Mitacs; Government of Ontario; Canada Foundation for Innovation; Ontario Research Foundation","keywords":"Glycerophospholipids; Chemistry; Plasmalogen; Derivatization; Chromatography; Phosphatidylethanolamine; Diazomethane; Formic acid; Mass spectrometry; Phosphatidylcholine; Organic chemistry; Biochemistry; Phospholipid","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":[0.0003953397,0.0007193468,0.0002346661,0.000296166,0.0002158117,0.0003075049,0.0004278015,0.000577827,0.002291992],"category_scores_gemma":[0.0005922985,0.0002915179,0.0002402728,0.0003078508,0.0004347273,0.000491877,0.0002810155,0.0008850102,0.001225008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005145952,"about_ca_system_score_gemma":0.0004392967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001313112,"about_ca_topic_score_gemma":0.003574542,"domain_scores_codex":[0.9997514,0.00002866374,0.00001637137,0.00006856892,0.00008907443,0.00004601196],"domain_scores_gemma":[0.9997196,0.00006916069,0.00006952666,0.00002320845,0.00009612162,0.00002243579],"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":[0.00003186064,0.000003333083,0.00006427054,0.00002678428,0.000002577211,0.00003067742,0.000008768314,0.00004623356,0.9987909,0.00004344799,0.00005024961,0.0009008198],"study_design_scores_gemma":[0.000001594137,0.00002499574,0.0003366636,0.000001844474,0.000003424692,0.00005024204,0.000007104624,0.0001948896,0.9984033,0.00001953562,0.0009533681,0.000003086271],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8875909,0.002456649,0.09614339,0.0006857354,0.0001402454,0.0002783363,0.00218564,0.001235426,0.009283809],"genre_scores_gemma":[0.8794242,0.00321522,0.1019848,0.0006471293,0.0000466819,0.0003437736,0.003069013,0.0005405304,0.01072869],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002291992,"threshold_uncertainty_score":0.007667422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007835051356816163,"score_gpt":0.2531105749701571,"score_spread":0.2452755236133409,"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."}}