{"id":"W2966620263","doi":"10.1007/978-1-4939-9597-4_18","title":"Genome-Based Bioinformatic Prediction of Major Histocompatibility (MHC)","year":2019,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"vaccines and immunoinformatics approaches","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Major histocompatibility complex; Genome; Computational biology; Biology; Gene; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001127403,0.0001885221,0.0003475942,0.0001569099,0.00002122095,0.000007030063,0.0002983492,0.000253919,0.00005230798],"category_scores_gemma":[0.000161736,0.0001698905,0.0001493949,0.0001907145,0.00008354781,0.000005496025,0.0001334641,0.000131894,0.000009213931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003243752,"about_ca_system_score_gemma":0.00008526551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002271541,"about_ca_topic_score_gemma":0.000002816821,"domain_scores_codex":[0.9983976,0.0003364554,0.000655927,0.000272049,0.00007167672,0.0002662849],"domain_scores_gemma":[0.998924,0.00003501591,0.0002370114,0.0006894707,0.00007318483,0.00004133417],"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":[0.00007192375,0.00007077056,0.0146185,0.0001376442,0.0000370848,2.376719e-7,0.00004741721,0.0005431934,0.9818301,0.0002906458,0.000006607186,0.002345906],"study_design_scores_gemma":[0.002360344,0.001143295,0.02295491,0.00002940158,0.0000317672,0.000009755887,0.0001311375,0.01262867,0.9529051,0.001058173,0.006403542,0.0003438718],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5122845,0.0004066126,0.4853897,0.00002794876,0.0001289888,0.000470777,0.00002433043,0.00000863075,0.001258545],"genre_scores_gemma":[0.5075145,0.00001612018,0.4918165,0.0001681421,0.00001767115,0.0000514363,0.0003386024,0.0000189781,0.00005805705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02892494,"threshold_uncertainty_score":0.6927933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01717670576150098,"score_gpt":0.3132963751158307,"score_spread":0.2961196693543297,"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."}}