{"id":"W2138713372","doi":"10.2144/04376rr02","title":"Microarray Genotyping Resource to Determine Population Stratification in Genetic Association Studies of Complex Disease","year":2004,"lang":"en","type":"article","venue":"BioTechniques","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Paul's Hospital; University of British Columbia","funders":"","keywords":"Genotyping; Genetics; Biology; Single-nucleotide polymorphism; SNP genotyping; Population stratification; SNP; Genotype; Genetic association; Population; Tag SNP; DNA microarray; Computational biology; Gene; Medicine","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":[0.005437872,0.0005428039,0.001229196,0.001663258,0.0005302745,0.0007607358,0.001090517,0.0008665989,0.009287179],"category_scores_gemma":[0.008686002,0.0007469484,0.0006860233,0.001635415,0.0002736622,0.0006004912,0.0009335726,0.001049516,0.005800109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005127232,"about_ca_system_score_gemma":0.0008125574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001140384,"about_ca_topic_score_gemma":0.002179462,"domain_scores_codex":[0.9951484,0.002555523,0.0003488092,0.0005955986,0.001042966,0.0003087535],"domain_scores_gemma":[0.9951786,0.002166547,0.0003986788,0.001423228,0.0005694968,0.0002635006],"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":[0.0009152525,0.0003389879,0.02616039,0.0005344333,0.0003676497,0.000435196,0.0001586506,0.007376327,0.6649134,0.01068803,0.04523144,0.2428804],"study_design_scores_gemma":[0.0005283906,0.002135328,0.1735724,0.000261964,0.0007405793,0.003026329,0.0002004407,0.124865,0.4054607,0.01596853,0.2728988,0.0003414156],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07079878,0.002299815,0.8843426,0.001492298,0.0005133376,0.001586352,0.01774651,0.008967983,0.01225243],"genre_scores_gemma":[0.1293969,0.0009401981,0.8433788,0.001152799,0.0002478657,0.004394843,0.01384372,0.0005121542,0.006132653],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009287179,"threshold_uncertainty_score":0.03106868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03910942033950696,"score_gpt":0.3216819257732227,"score_spread":0.2825725054337157,"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."}}