{"id":"W2990490132","doi":"10.1074/mcp.r119.001743","title":"The Human Immunopeptidome Project: A Roadmap to Predict and Treat Immune Diseases","year":2019,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"vaccines and immunoinformatics approaches","field":"Biochemistry, Genetics and Molecular Biology","cited_by":103,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Montreal Heart Institute; University of Ottawa; Centre Hospitalier Universitaire Sainte-Justine","funders":"Biotechnology and Biological Sciences Research Council; UK Research and Innovation; Epic Foundation; Wellcome Trust; Wellcome","keywords":"Context (archaeology); Precision medicine; Data science; Computer science; Computational biology; Medicine; Immunology; Biology","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":[0.01427009,0.001145844,0.001297831,0.002282108,0.0006562743,0.002916145,0.001328904,0.002335541,0.008225892],"category_scores_gemma":[0.01168838,0.0003411098,0.001054446,0.001516802,0.001443391,0.002981557,0.004587446,0.003347864,0.003167078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001238376,"about_ca_system_score_gemma":0.006805414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001444457,"about_ca_topic_score_gemma":0.001256655,"domain_scores_codex":[0.9971201,0.00178272,0.0001330979,0.0003166514,0.0004254297,0.0002219413],"domain_scores_gemma":[0.9895753,0.004973799,0.0009019077,0.000796378,0.001417085,0.002335532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001453404,0.0002734082,0.01212125,0.001918948,0.0006215557,0.0003789893,0.0003479536,0.002690829,0.008961796,0.05607986,0.1690263,0.7461256],"study_design_scores_gemma":[0.0004254008,0.001053272,0.01493596,0.002203989,0.0004165421,0.0007864473,0.0002705377,0.0040812,0.005568912,0.1299936,0.8401498,0.0001144529],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.02931554,0.3589492,0.2423645,0.2993625,0.009620908,0.00105097,0.02197304,0.005233381,0.03213],"genre_scores_gemma":[0.1329669,0.2474933,0.4782749,0.0722388,0.0105018,0.002764312,0.03915028,0.001369154,0.01524056],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01427009,"threshold_uncertainty_score":0.0754683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00491413264152805,"score_gpt":0.2103838882524701,"score_spread":0.205469755610942,"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."}}