{"id":"W2081315887","doi":"10.1002/gepi.20564","title":"Phenotype harmonization and cross-study collaboration in GWAS consortia: the GENEVA experience","year":2011,"lang":"en","type":"article","venue":"Genetic Epidemiology","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Research Resources; National Institute of Dental and Craniofacial Research; National Institute of Neurological Disorders and Stroke; National Eye Institute; National Human Genome Research Institute; National Institute on Drug Abuse; National Institute of Diabetes and Digestive and Kidney Diseases; 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","keywords":"Harmonization; Genome-wide association study; Phenotype; Computational biology; Biology; Genetics; Single-nucleotide polymorphism; Genotype; Gene","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":[0.001419446,0.0001902687,0.0003249914,0.00005553891,0.0001751767,0.00001001522,0.0002391033,0.0002609061,0.0000538739],"category_scores_gemma":[0.002223555,0.0001505092,0.00004018396,0.0002005525,0.0003454435,0.000005160082,0.0001598527,0.0001241877,0.00001479871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002072252,"about_ca_system_score_gemma":0.00007674321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003407229,"about_ca_topic_score_gemma":0.0008333735,"domain_scores_codex":[0.9971515,0.001095936,0.0006965058,0.0005828668,0.00006046647,0.0004127552],"domain_scores_gemma":[0.9988604,0.0001947848,0.0002643847,0.0004686611,0.0001337339,0.00007801554],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004664866,0.00007656317,0.9933764,0.000002853462,0.00002813674,0.000002040533,0.001385164,0.0005610435,0.002435976,0.0001904315,0.0002928917,0.001601903],"study_design_scores_gemma":[0.0005139784,0.0003749538,0.9938241,0.000002045743,0.00001816877,0.00001353367,0.00104817,0.0007540626,0.0004528633,0.001612765,0.001221148,0.0001641941],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892361,0.002232822,0.006938384,0.0003700807,0.0002546823,0.0005349995,0.000006836812,0.00001135423,0.0004147355],"genre_scores_gemma":[0.9887991,0.0006045559,0.009014906,0.00108797,0.0001253593,0.0001767743,0.00003070241,0.00001784726,0.0001428066],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002076523,"threshold_uncertainty_score":0.6137588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04879509774018999,"score_gpt":0.3443021118742895,"score_spread":0.2955070141340995,"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."}}