{"id":"W2142054160","doi":"10.1038/ng0106-3","title":"A road map for efficient and reliable human genome epidemiology","year":2006,"lang":"en","type":"article","venue":"Nature Genetics","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":244,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Genome-wide association study; Data science; Biology; Genetic association; Genetic epidemiology; Data sharing; Set (abstract data type); Field (mathematics); Genetic data; Computational biology; Computer science; Genetics; Population; Medicine; Single-nucleotide polymorphism; Environmental health; 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":[0.00541209,0.001317581,0.002356746,0.005870796,0.001643796,0.004562411,0.002517593,0.002872659,0.02223875],"category_scores_gemma":[0.0391582,0.001466125,0.001234646,0.004417426,0.0008857379,0.004948148,0.004049014,0.003151173,0.01249156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001500036,"about_ca_system_score_gemma":0.006394414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01226246,"about_ca_topic_score_gemma":0.00763664,"domain_scores_codex":[0.9974145,0.001119529,0.0002896492,0.0003830443,0.0006468428,0.0001464715],"domain_scores_gemma":[0.9803066,0.008203865,0.0009311445,0.002958588,0.00670535,0.0008943655],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004118875,0.0001981149,0.004624532,0.001091268,0.0002474066,0.0004721395,0.000307894,0.04805708,0.002425491,0.09950043,0.1239836,0.7186801],"study_design_scores_gemma":[0.0002902361,0.0002642151,0.00459246,0.0005671031,0.000306866,0.0007894718,0.0004110149,0.1794712,0.00305583,0.5183578,0.291693,0.0002008641],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001770043,0.001525775,0.9774075,0.003698339,0.0004370475,0.0003188139,0.003850659,0.007984346,0.00300744],"genre_scores_gemma":[0.02798568,0.001981606,0.9588723,0.0005627961,0.0003559575,0.0009549107,0.00598004,0.0005160249,0.002790613],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02223875,"threshold_uncertainty_score":0.07439607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01089054202611515,"score_gpt":0.2879643231919271,"score_spread":0.2770737811658119,"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."}}