{"id":"W2953063950","doi":"10.1016/j.fsigen.2019.06.007","title":"Identity informative SNP associations in the UK Biobank","year":2019,"lang":"en","type":"article","venue":"Forensic Science International Genetics","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Genome-wide association study; Biology; Single-nucleotide polymorphism; Genotyping; Genetics; Biobank; SNP; Microsatellite; Computational biology; Genetic genealogy; Loss of heterozygosity; SNP genotyping; Evolutionary biology; 1000 Genomes Project; Allele; Genotype; Gene; Medicine; Population","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":[0.002237115,0.0002082682,0.0004812133,0.002825572,0.0008832605,0.001280863,0.0005222549,0.0009508436,0.0108219],"category_scores_gemma":[0.01836227,0.000354701,0.0002866736,0.0059513,0.0003422381,0.0007767096,0.002329998,0.0006525332,0.001830563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001109233,"about_ca_system_score_gemma":0.00158588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05662161,"about_ca_topic_score_gemma":0.06684993,"domain_scores_codex":[0.9960222,0.001247127,0.0007858576,0.0008166597,0.0006908806,0.0004373028],"domain_scores_gemma":[0.9892045,0.003478459,0.003054632,0.00191043,0.001644904,0.0007071106],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001743539,0.0001105057,0.8915549,0.0003921229,0.0002864253,0.001740299,0.0030339,0.00073684,0.005091219,0.003972731,0.04073386,0.05060363],"study_design_scores_gemma":[0.00008662346,0.00007658066,0.9695182,0.0002121019,0.0001600114,0.001239956,0.0007971597,0.0004821835,0.0006832815,0.0008378313,0.02587836,0.00002762077],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9456692,0.002003483,0.001880454,0.001808949,0.0001063682,0.00007731218,0.04001302,0.00005058626,0.008390523],"genre_scores_gemma":[0.9758612,0.000922653,0.002131435,0.0005318942,0.00004983782,0.0001268859,0.01550184,0.00003676662,0.004837506],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05662161,"threshold_uncertainty_score":0.1125841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02098638169459806,"score_gpt":0.3224096713871266,"score_spread":0.3014232896925286,"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."}}