{"id":"W2039696259","doi":"10.1021/ac500109y","title":"PEP Search in MyCompoundID: Detection and Identification of Dipeptides and Tripeptides Using Dimethyl Labeling and Hydrophilic Interaction Liquid Chromatography Tandem Mass Spectrometry","year":2014,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athabasca University; University of Alberta","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Tripeptide; Chemistry; Tandem mass spectrometry; Chromatography; Hydrolysate; Mass spectrometry; Liquid chromatography–mass spectrometry; Peptide; Amino acid; Hydrolysis; Biochemistry","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":[0.001146147,0.001162826,0.001357532,0.001647066,0.0003974146,0.0008349236,0.0009713424,0.0009466832,0.002317499],"category_scores_gemma":[0.001506986,0.0005021914,0.0005719594,0.00133664,0.0003006814,0.001271598,0.0008399204,0.0007623563,0.001556167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002858314,"about_ca_system_score_gemma":0.0004510962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000269295,"about_ca_topic_score_gemma":0.0004202995,"domain_scores_codex":[0.9992422,0.0001148319,0.00009747774,0.0002683132,0.0002080826,0.00006918616],"domain_scores_gemma":[0.9995005,0.0001845012,0.0001350427,0.00004072714,0.00007206138,0.0000671684],"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":[0.002681315,0.0001973489,0.005439983,0.0009533575,0.0001221775,0.0008879424,0.0001126259,0.0007891259,0.9436648,0.0003772679,0.00229431,0.0424799],"study_design_scores_gemma":[0.0002464622,0.001037139,0.01758727,0.00006267934,0.0001399292,0.004520192,0.00009969025,0.02973808,0.9286352,0.0003841844,0.01745055,0.0000986566],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7569348,0.007472779,0.1886104,0.0004519965,0.0001611336,0.000852756,0.02461292,0.01642121,0.004482035],"genre_scores_gemma":[0.401077,0.002086864,0.5522633,0.000512057,0.00006363316,0.001130253,0.03927016,0.001129032,0.002467708],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002317499,"threshold_uncertainty_score":0.007752776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01170126511694184,"score_gpt":0.2673658466412656,"score_spread":0.2556645815243237,"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."}}