{"id":"W2054781264","doi":"10.1111/j.1399-0039.2010.01539.x","title":"Evaluation of computational methods for the reconstruction of HLA haplotypes","year":2010,"lang":"en","type":"article","venue":"Tissue Antigens","topic":"T-cell and B-cell Immunology","field":"Immunology and Microbiology","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Electrical, Communications and Cyber Systems; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Haplotype; Human leukocyte antigen; Inference; Genetics; Expectation–maximization algorithm; Biology; Population; Allele; Computational biology; Computer science; Mathematics; Artificial intelligence; Maximum likelihood; Statistics; Gene; Medicine; Antigen","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00139018,0.00007186657,0.0001705565,0.00005602812,0.0001138527,0.000002334164,0.0001273074,0.0001584927,0.0007889514],"category_scores_gemma":[0.0002132325,0.00005256666,0.00005847654,0.00006965219,0.0003715917,0.00003207691,0.00002278748,0.0001310312,0.00003767401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005250642,"about_ca_system_score_gemma":0.00008689133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008344833,"about_ca_topic_score_gemma":0.00004293162,"domain_scores_codex":[0.9992362,0.0002399047,0.0002482792,0.0001229117,0.00003689313,0.0001158402],"domain_scores_gemma":[0.9986642,0.0005035778,0.0001873657,0.0001744979,0.0004657086,0.000004634824],"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":[0.00002396501,0.00003359365,0.0001538634,0.00000632087,0.0001245654,1.69921e-8,0.0001604643,0.00005108621,0.7201268,0.001569261,0.0001699005,0.2775801],"study_design_scores_gemma":[0.0007048475,0.0001239459,0.003033542,0.000006431961,0.0002098037,0.00004245208,0.0001257727,0.0004978003,0.9699724,0.006327162,0.01889419,0.00006160301],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9733837,0.003347685,0.01965742,0.0002492751,0.002240218,0.0004664986,0.00002718459,0.00002098996,0.0006069895],"genre_scores_gemma":[0.9864677,0.00003914824,0.01293616,0.00001234027,0.00002936197,0.00001759662,0.0000412626,0.00000731411,0.0004491032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2775185,"threshold_uncertainty_score":0.8638464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04090911126788918,"score_gpt":0.352617269462644,"score_spread":0.3117081581947548,"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."}}