{"id":"W2096095753","doi":"10.1002/gepi.20492","title":"The gene, environment association studies consortium (GENEVA): maximizing the knowledge obtained from GWAS by collaboration across studies of multiple conditions","year":2010,"lang":"en","type":"article","venue":"Genetic Epidemiology","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":157,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Research Resources; National Institute of Dental and Craniofacial Research; Wellcome Trust; National Human Genome Research Institute; National Institute on Drug Abuse; National Heart, Lung, and Blood Institute; National Cancer Institute; National Institute on Alcohol Abuse and Alcoholism; Canadian Institutes of Health Research; National Institutes of Health; National Institute of Diabetes and Digestive and Kidney Diseases; Johns Hopkins University; Broad Institute; National Eye Institute","keywords":"Genome-wide association study; Genetic association; Genotyping; Biology; Computational biology; Genetics; Data science; Computer science; Gene; Single-nucleotide polymorphism; Genotype","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2155417,0.002761395,0.005443277,0.01062023,0.003325706,0.01224282,0.007076707,0.007405323,0.004848584],"category_scores_gemma":[0.1364218,0.002053879,0.003010705,0.01637709,0.005960326,0.00788445,0.03202439,0.007529079,0.00290679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003039018,"about_ca_system_score_gemma":0.04228361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01526349,"about_ca_topic_score_gemma":0.01245719,"domain_scores_codex":[0.8530288,0.1076334,0.006088614,0.0111097,0.01751555,0.004623934],"domain_scores_gemma":[0.8005348,0.08835448,0.01495793,0.03350086,0.03617082,0.02648113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003313779,0.0003798438,0.05161985,0.005137909,0.002972376,0.0009145078,0.003607344,0.004064496,0.00541588,0.06572566,0.4089134,0.447935],"study_design_scores_gemma":[0.005297567,0.0009068498,0.1037812,0.009517001,0.002156036,0.001061102,0.001278279,0.005613896,0.002960654,0.1173041,0.7494603,0.0006629517],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03225728,0.08393665,0.5021059,0.2460274,0.009252587,0.01168086,0.04154506,0.007782242,0.06541207],"genre_scores_gemma":[0.1310924,0.02440172,0.7089111,0.05046354,0.006859851,0.02006762,0.04615466,0.003001008,0.009048123],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2155417,"threshold_uncertainty_score":0.9673768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03418057619736936,"score_gpt":0.3512501880428044,"score_spread":0.317069611845435,"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."}}