{"id":"W4385429007","doi":"10.7554/elife.88149.1","title":"Risk factors affecting polygenic score performance across diverse cohorts","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Columbia College","funders":"","keywords":"Polygenic risk score; Geography; Statistics; Biology; Mathematics; Genetics; Genotype; Single-nucleotide polymorphism; Gene","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":[0.007194915,0.0005429721,0.0005631799,0.0008199563,0.0007033789,0.001156494,0.0004594289,0.0004336635,0.002431076],"category_scores_gemma":[0.01096947,0.0002568007,0.001284161,0.001511242,0.0006731004,0.0004097701,0.0009261941,0.0008311757,0.0002723812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000189793,"about_ca_system_score_gemma":0.0002780384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005086828,"about_ca_topic_score_gemma":0.005626078,"domain_scores_codex":[0.995837,0.002296821,0.0002258008,0.001072741,0.0003112463,0.000256427],"domain_scores_gemma":[0.991679,0.004362792,0.001102977,0.00219415,0.0003555556,0.0003054332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003722077,0.00002832381,0.9850737,0.00003539443,0.002316535,0.00009736899,0.0001872831,0.001545673,0.003956489,0.0003791401,0.0003371971,0.005670718],"study_design_scores_gemma":[0.0000107084,0.0001080771,0.9945052,0.000009434206,0.0003210898,0.0001178304,0.00007580876,0.00327646,0.0005186584,0.0006309708,0.0004152791,0.000010449],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911861,0.000430655,0.006086905,0.0001194069,0.00002208473,0.00001594332,0.001475447,0.0000689856,0.0005944972],"genre_scores_gemma":[0.9977409,0.00005492498,0.001234564,0.00003451439,0.000009064112,0.00001497828,0.0007581158,0.00002268436,0.0001302686],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007194915,"threshold_uncertainty_score":0.03805083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03567282637486011,"score_gpt":0.3039398774078498,"score_spread":0.2682670510329896,"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."}}