{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.6186699,0.001330575,0.00232913,0.005504537,0.007865543,0.01638116,0.01092649,0.006673991,0.00692698],"category_scores_gemma":[0.4943411,0.002277147,0.002499994,0.007889927,0.01302892,0.01682499,0.04265367,0.01107371,0.002009229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01140138,"about_ca_system_score_gemma":0.04984354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009077769,"about_ca_topic_score_gemma":0.01021987,"domain_scores_codex":[0.4309027,0.4966065,0.02308468,0.01425101,0.02751897,0.007636153],"domain_scores_gemma":[0.3684953,0.3493316,0.03813292,0.1348437,0.06394706,0.04524936],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001490123,0.0006368205,0.04622979,0.003130119,0.0007980814,0.002593007,0.07333322,0.004253657,0.00117612,0.1333516,0.1728469,0.5601606],"study_design_scores_gemma":[0.001665476,0.001529132,0.04046217,0.008339887,0.0004127384,0.002528382,0.02659161,0.00417515,0.001748279,0.1398021,0.7721165,0.0006284108],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0571744,0.04506611,0.2813253,0.5348203,0.012833,0.00808968,0.001741994,0.003862686,0.05508661],"genre_scores_gemma":[0.4946903,0.01629066,0.3610285,0.07495879,0.006880195,0.01968592,0.004114015,0.003771205,0.01858048],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3813301,"threshold_uncertainty_score":0.470248,"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."}}