{"id":"W2990665925","doi":"10.1093/bioinformatics/btz875","title":"Easy-HLA: a validated web application suite to reveal the full details of HLA typing","year":2019,"lang":"en","type":"article","venue":"Bioinformatics","topic":"vaccines and immunoinformatics approaches","field":"Biochemistry, Genetics and Molecular Biology","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University and Génome Québec Innovation Centre","funders":"Institut National de la Santé et de la Recherche Médicale; Agence Nationale de la Recherche; National Institute of Allergy and Infectious Diseases; European Commission","keywords":"Suite; Human leukocyte antigen; Typing; Computer science; Web application; World Wide Web; Biology; Genetics; Antigen; Speech recognition; Geography","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":[0.0003565812,0.000156569,0.0001809057,0.00005398138,0.00006397934,0.00004309305,0.0003853004,0.0001180411,0.00001137574],"category_scores_gemma":[0.00005823001,0.0001112273,0.0000930126,0.0002010893,0.00002536192,0.00001747626,0.0002088055,0.00008190296,0.0001960957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001342064,"about_ca_system_score_gemma":0.00007426541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007107101,"about_ca_topic_score_gemma":0.000005366717,"domain_scores_codex":[0.9989767,0.00001791516,0.0005342842,0.0001069012,0.0001400549,0.0002241566],"domain_scores_gemma":[0.998871,0.00001577415,0.0002613442,0.0006629635,0.0001307483,0.00005816256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002660019,0.00009887276,0.003847545,0.0007204658,0.0002320536,1.181362e-7,0.001446165,0.001234696,0.9633035,0.001655005,0.008200456,0.01899509],"study_design_scores_gemma":[0.003452105,0.001815953,0.009317642,0.0002375264,0.0001880401,0.0001014709,0.005406238,0.1681559,0.4031646,0.0001800158,0.4064614,0.001519182],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9803432,0.0001586968,0.01116977,0.0002016351,0.0001286467,0.000953029,0.00004160516,0.00002053403,0.006982923],"genre_scores_gemma":[0.9906795,0.0000496177,0.007976452,0.0004062189,0.00006149285,0.0000342004,0.0002044294,0.00001787839,0.0005701903],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5601389,"threshold_uncertainty_score":0.4535718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01095325152800844,"score_gpt":0.2296079122094961,"score_spread":0.2186546606814876,"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."}}