{"id":"W2084401130","doi":"10.1089/cmb.2010.0250","title":"Admixture Aberration Analysis: Application to Mapping in Admixed Population Using Pooled DNA","year":2011,"lang":"en","type":"article","venue":"Journal of Computational Biology","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Azrieli Foundation; Israel Science Foundation","keywords":"Genotyping; Locus (genetics); Computational biology; Biology; Java; Genetic admixture; Population; Genetics; Gene; Computer science; Genotype; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003233367,0.0001110735,0.0002165613,0.0004060641,0.00004575397,0.000006692898,0.0001690766,0.0001857837,0.0000129422],"category_scores_gemma":[0.00005168491,0.000104801,0.0001280919,0.0004920436,0.00002623783,0.000007199493,0.00004245699,0.00009966975,0.000002042076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003472065,"about_ca_system_score_gemma":0.00006452852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000449291,"about_ca_topic_score_gemma":0.00004806066,"domain_scores_codex":[0.9989495,0.0001141664,0.000514145,0.0002119596,0.00007651926,0.0001336837],"domain_scores_gemma":[0.99917,0.00001342482,0.0003694631,0.0001407706,0.0002373361,0.0000689899],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001780059,0.0002160092,0.1386132,0.000007122162,0.0004925189,0.000003438745,0.0001905991,0.03727084,0.8105598,0.006063927,0.0001344263,0.006270105],"study_design_scores_gemma":[0.001054618,0.0007848473,0.9044993,0.00003157865,0.0003328152,0.0001350068,0.0001070666,0.01604523,0.03591731,0.03809078,0.002491668,0.00050978],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5366787,0.00006069449,0.4629547,0.00009781501,0.00002971087,0.0001181821,0.00000438129,0.000003894569,0.00005195572],"genre_scores_gemma":[0.9349956,0.00000889836,0.06419841,0.000378746,0.0001017715,0.00001476493,0.0002883086,0.00000808745,0.00000542256],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7746425,"threshold_uncertainty_score":0.4273659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02007450093623693,"score_gpt":0.3015875149257864,"score_spread":0.2815130139895495,"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."}}