{"id":"W3042210009","doi":"10.1002/pmic.202000061","title":"MMS2plot: An R Package for Visualizing Multiple MS/MS Spectra for Groups of Modified and Non‐Modified Peptides","year":2020,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"National Natural Science Foundation of China","keywords":"Peptide; Proteomics; Computer science; Mass spectrum; Chemistry; Chromatography; Computational biology; Graphics; Database search engine; Mass spectrometry; Combinatorial chemistry; Operating system; Search engine; Information retrieval; Biology; Biochemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.004699891,0.004423382,0.003303441,0.003468702,0.0008953767,0.003824371,0.004976687,0.001297343,0.139946],"category_scores_gemma":[0.01240877,0.002226918,0.003061642,0.002650226,0.0008495584,0.003655742,0.00338821,0.004348427,0.07905427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009808532,"about_ca_system_score_gemma":0.002713421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002664372,"about_ca_topic_score_gemma":0.002807098,"domain_scores_codex":[0.9976198,0.0007042286,0.0002626904,0.0005591596,0.0006270502,0.0002269328],"domain_scores_gemma":[0.9953316,0.002709349,0.0005831377,0.0005033184,0.0006160978,0.0002565279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001118634,0.0001139914,0.003362069,0.004741408,0.001052926,0.0005057973,0.0005474788,0.004484523,0.01043062,0.008315679,0.897412,0.06791477],"study_design_scores_gemma":[0.0006605101,0.000207617,0.006364898,0.0009814816,0.000490137,0.0009994609,0.0002281284,0.06262917,0.02831206,0.0359578,0.8627014,0.0004674155],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.002844562,0.001326157,0.1765173,0.0006277423,0.0004926929,0.0002277612,0.1141171,0.7003036,0.003543149],"genre_scores_gemma":[0.03218099,0.001991139,0.375897,0.001228269,0.0003008782,0.002083205,0.153298,0.4220929,0.0109276],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.139946,"threshold_uncertainty_score":0.4681661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04265082389052083,"score_gpt":0.3060808343313453,"score_spread":0.2634300104408244,"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."}}