{"id":"W4379141728","doi":"10.1158/2326-6066.c.6626538.v2","title":"Data from The Immunopeptidome from a Genomic Perspective: Establishing the Noncanonical Landscape of MHC Class I–Associated Peptides","year":2023,"lang":"en","type":"preprint","venue":"","topic":"vaccines and immunoinformatics approaches","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Imperial Experimental Cancer Medicine Centre; Genome British Columbia; Infrastruktura PL-Grid; Agence Nationale de la Recherche; European Regional Development Fund; Fundacja na rzecz Nauki Polskiej; European Commission; UK Research and Innovation; Cancer Research UK; NuCana; Swedish Cancer Foundation; Fundação para a Ciência e a Tecnologia; Genome Canada","keywords":"MHC class I; Computational biology; Major histocompatibility complex; Biology; Human leukocyte antigen; Antigen; Population; Genetics; Cancer research; 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":[0.00120521,0.0006423361,0.0004883994,0.001563296,0.000450143,0.001324957,0.0004071915,0.000692011,0.004332954],"category_scores_gemma":[0.002251335,0.0002873435,0.0006894867,0.001248171,0.0004567313,0.0008711212,0.0009562889,0.0008786081,0.001347417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004231826,"about_ca_system_score_gemma":0.0004230216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007820476,"about_ca_topic_score_gemma":0.001489605,"domain_scores_codex":[0.9994853,0.00005790073,0.00004550726,0.0001956675,0.0001463924,0.00006924017],"domain_scores_gemma":[0.9990317,0.0003536983,0.0002115496,0.0001457497,0.0001764177,0.00008096045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001152668,0.0001096655,0.06825124,0.001322913,0.0005574285,0.001488953,0.0003306338,0.00501789,0.8291515,0.002770871,0.005541909,0.08430427],"study_design_scores_gemma":[0.0001121389,0.0006040125,0.2309441,0.0002537419,0.0008400663,0.006083755,0.0005947531,0.07403938,0.607501,0.01294192,0.06594376,0.0001414399],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8787232,0.005617808,0.08343197,0.0008154665,0.0002269406,0.000105975,0.01975323,0.002074709,0.009250758],"genre_scores_gemma":[0.897271,0.002023612,0.07827196,0.0006865152,0.0001024684,0.0001578214,0.01831089,0.0005811285,0.002594613],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004332954,"threshold_uncertainty_score":0.01449519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0554404224424396,"score_gpt":0.2862023560393417,"score_spread":0.2307619335969021,"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."}}