{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00563387,0.002973826,0.001348621,0.003177355,0.0005976859,0.002448047,0.003134867,0.001415776,0.02762799],"category_scores_gemma":[0.01737033,0.001437985,0.001924234,0.001610038,0.0005668476,0.002676448,0.004666026,0.002017585,0.02240815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004421234,"about_ca_system_score_gemma":0.00142169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00197794,"about_ca_topic_score_gemma":0.001670513,"domain_scores_codex":[0.9970124,0.0007598028,0.0004127306,0.0006079552,0.0009901316,0.0002169187],"domain_scores_gemma":[0.9907844,0.005600195,0.0007116747,0.001218076,0.001099159,0.000586584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.005238512,0.001036233,0.03415895,0.004283311,0.001818439,0.00210006,0.0007922123,0.01571997,0.02789756,0.007163061,0.579353,0.3204387],"study_design_scores_gemma":[0.003246898,0.0008674694,0.04700372,0.001403401,0.0006470867,0.003394897,0.0003308281,0.2564451,0.06680477,0.03257937,0.5862289,0.00104756],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"software","genre_gemma":"methods","genre_scores_codex":[0.01802644,0.001114308,0.2058066,0.0006171463,0.0003357299,0.0007873219,0.07500913,0.6927546,0.005548787],"genre_scores_gemma":[0.1316895,0.00158538,0.3260497,0.002947085,0.0004746509,0.004101698,0.356666,0.1657733,0.01071256],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.02762799,"threshold_uncertainty_score":0.09242481,"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."}}