{"id":"W2105074464","doi":"10.1186/1471-2105-15-s7-s8","title":"Population substructure in Cache County, Utah: the Cache County study","year":2014,"lang":"en","type":"article","venue":"BMC Bioinformatics","topic":"Forensic and Genetic Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Neurological Disorders and Stroke; National Human Genome Research Institute; National Institute on Aging; University of California, San Diego; Genentech; National Institutes of Health; National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; University of California, Los Angeles; Servier; Eisai; Northern California Institute for Research and Education; Pfizer; Biogen; BioClinica; Alzheimer's Association; Amorfix Life Sciences; F. Hoffmann-La Roche; Medpace; Bristol-Myers Squibb; Eli Lilly and Company; AstraZeneca; Novartis Pharmaceuticals Corporation; Synarc; Dana Foundation; Bayer HealthCare; Alzheimer's Disease Neuroimaging Initiative; Meso Scale Diagnostics; Foundation for the National Institutes of Health","keywords":"International HapMap Project; Population; Cache; Population stratification; Geography; Demography; Computer science; Biology; Genetics; Genotype; Genotyping; Sociology","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":[0.0008513475,0.0001668905,0.0001625898,0.00004812517,0.0001227974,0.00006519851,0.0003258219,0.0001677588,0.00001372842],"category_scores_gemma":[0.0001914891,0.0001099493,0.00005628634,0.000160955,0.0001031223,0.000008057596,0.0001410181,0.0001840428,0.0000179411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002796502,"about_ca_system_score_gemma":0.00007622315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00026702,"about_ca_topic_score_gemma":0.001919789,"domain_scores_codex":[0.9986715,0.0001196422,0.0003826763,0.0001661271,0.0003594534,0.0003005998],"domain_scores_gemma":[0.9991267,0.00003841522,0.0001084424,0.0005757884,0.00008920885,0.00006149682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002906754,0.0003091798,0.9437743,0.0003006007,0.0001233195,0.000002610015,0.004603041,0.009771219,0.001572445,0.001094623,0.01522701,0.02293098],"study_design_scores_gemma":[0.002461068,0.0007257087,0.8299988,0.00002501315,0.00004622081,0.00003599737,0.00571855,0.1358376,0.001572026,0.0007999326,0.02222113,0.0005579381],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933143,0.0001215093,0.003887658,0.00008656224,0.0001647997,0.0005778954,0.00002652062,0.00001095046,0.001809795],"genre_scores_gemma":[0.9966828,0.00002365875,0.002424378,0.0002359417,0.0001552061,0.00002131755,0.000205803,0.00001484504,0.0002359975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1260664,"threshold_uncertainty_score":0.4483602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01517379972665087,"score_gpt":0.2727620459501549,"score_spread":0.257588246223504,"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."}}