{"id":"W3214660224","doi":"10.1016/j.mcpro.2021.100178","title":"MhcVizPipe: A Quality Control Software for Rapid Assessment of Small- to Large-Scale Immunopeptidome Datasets","year":2021,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"vaccines and immunoinformatics approaches","field":"Biochemistry, Genetics and Molecular Biology","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Institute for Research in Immunology and Cancer; University of Ottawa; Centre Hospitalier Universitaire Sainte-Justine","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Genome Canada; Chung Hua University; Fondation Charles-Bruneau; Canada Foundation for Innovation; Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec; Institut de Valorisation des Données","keywords":"Computer science; Software; Sample (material); Scale (ratio); Quality (philosophy); Class (philosophy); Data mining; Quality assurance; Process (computing); Data science; Software engineering; Artificial intelligence; Operating system; External quality assessment; Medicine","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":[0.01257732,0.001964368,0.001533062,0.004426758,0.001131471,0.002915801,0.003156428,0.001145944,0.0115631],"category_scores_gemma":[0.0161493,0.001602218,0.001292606,0.002240173,0.0008733648,0.002363357,0.003084423,0.003001362,0.005398119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009976594,"about_ca_system_score_gemma":0.002114328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001843194,"about_ca_topic_score_gemma":0.002230024,"domain_scores_codex":[0.996241,0.0006151107,0.0004381292,0.0009476855,0.001575315,0.0001827714],"domain_scores_gemma":[0.9915041,0.003953183,0.0009860793,0.00145572,0.001787029,0.0003137595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003398369,0.0003985118,0.0184152,0.00273179,0.00168279,0.0009060631,0.001352395,0.0100221,0.2037174,0.0103591,0.3519522,0.395064],"study_design_scores_gemma":[0.0008314304,0.0004748298,0.02693262,0.0004361224,0.0003885272,0.001473859,0.0002189478,0.2566849,0.3891724,0.01575874,0.3069428,0.0006847677],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.01284639,0.0005069084,0.6291161,0.0002903769,0.0002133214,0.0005008797,0.01972353,0.3343112,0.00249124],"genre_scores_gemma":[0.06666782,0.0007968735,0.785929,0.0008469324,0.0001470799,0.002915006,0.07291625,0.06526586,0.004515297],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.01257732,"threshold_uncertainty_score":0.06651604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01417624480619297,"score_gpt":0.2723507131516066,"score_spread":0.2581744683454137,"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."}}