{"id":"W2810364471","doi":"10.1111/tan.13326","title":"Urdu speaking population from South India: Six extended haplotypes in linkage disequilibrium in Urdu Speaking Population","year":2018,"lang":"en","type":"article","venue":"HLA","topic":"Microbial infections and disease research","field":"Immunology and Microbiology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Genetics; Université de Genève; Life Technologies Corporation","keywords":"Linkage disequilibrium; Haplotype; Population; Telugu; Urdu; Genetics; Allele frequency; Allele; Sanger sequencing; Biology; Demography; DNA sequencing; Gene; Sociology; Natural language processing","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000208735,0.0002899308,0.0004469866,0.001009973,0.0009892229,0.0006167464,0.0003457127,0.000237959,0.001822602],"category_scores_gemma":[0.0005583644,0.0002444858,0.0001878039,0.001572031,0.0004247303,0.0001617992,0.0004759809,0.0001931459,0.0002594757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002604319,"about_ca_system_score_gemma":0.0003408059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01374272,"about_ca_topic_score_gemma":0.01624946,"domain_scores_codex":[0.999575,0.0001148045,0.00005150858,0.0001025168,0.00005367792,0.0001026056],"domain_scores_gemma":[0.9997625,0.00005500399,0.00006522723,0.00003745221,0.00003305855,0.00004681709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002396886,0.0001562587,0.9604564,0.00009536983,0.00006554805,0.004371233,0.008135257,0.00008961303,0.007089502,0.0002106243,0.0002898372,0.0188007],"study_design_scores_gemma":[0.00001681941,0.0001809506,0.9885631,0.00003381594,0.00006501901,0.005577617,0.003814804,0.0001517738,0.0003658853,0.00009495472,0.001119349,0.00001606616],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999405,0.00009089978,0.00005886386,0.00001605816,0.000002009263,0.000008581604,0.00005792833,0.000003848566,0.0003568584],"genre_scores_gemma":[0.9993819,0.0001448728,0.000142736,0.00002847882,0.000005230371,0.00001127574,0.000133691,0.00000176818,0.0001499732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01374272,"threshold_uncertainty_score":0.02732545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01702026825526057,"score_gpt":0.2842469760385116,"score_spread":0.267226707783251,"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."}}