{"id":"W2918847130","doi":"10.1002/bmc.4523","title":"Neuropeptidomics: Comparison of parallel reaction monitoring and data‐independent acquisition for the analysis of neuropeptides using high‐resolution mass spectrometry","year":2019,"lang":"en","type":"article","venue":"Biomedical Chromatography","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Chemistry; Chromatography; Mass spectrometry; Selected reaction monitoring; Formic acid; Detection limit; Orbitrap; Analytical Chemistry (journal); Reproducibility; Tandem mass spectrometry","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":[],"consensus_categories":[],"category_scores_codex":[0.0002941803,0.0001526591,0.0004196427,0.0005088635,0.00009594044,0.00002664909,0.0004205911,0.0001178401,0.0001622768],"category_scores_gemma":[0.00002711989,0.000122486,0.0001802359,0.001387619,0.0001814792,0.0001084267,0.0001399066,0.00015193,6.091225e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003079162,"about_ca_system_score_gemma":0.00001693171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001882781,"about_ca_topic_score_gemma":0.000001849958,"domain_scores_codex":[0.9984457,0.00002653921,0.0005308465,0.0004093706,0.0003860603,0.000201444],"domain_scores_gemma":[0.998368,0.0002549826,0.0004446248,0.0007898902,0.00006970151,0.00007280744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00005507884,0.000162888,0.05519372,0.0001771838,0.0005164238,2.917715e-7,0.00002064824,0.0000669939,0.9422022,0.000968115,0.00005153555,0.0005848908],"study_design_scores_gemma":[0.002319908,0.0004614363,0.4071061,0.0002955337,0.005245884,0.00001607128,0.001072126,0.2949548,0.2834137,0.001281661,0.003099358,0.0007333707],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9702664,0.0004027443,0.02850574,0.00006312711,0.00007482876,0.0002476905,0.0002447687,0.00006291302,0.0001318093],"genre_scores_gemma":[0.979197,0.0002402781,0.02013761,0.000004683931,0.0001076739,0.00001930429,0.0002686548,0.00001910688,0.000005727401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6587885,"threshold_uncertainty_score":0.4994835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03151316763108254,"score_gpt":0.3149792727224219,"score_spread":0.2834661050913393,"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."}}