{"id":"W2006555335","doi":"10.1159/000279627","title":"On Track? Using the Human Genome Epidemiology Roadmap","year":2010,"lang":"en","type":"review","venue":"Public Health Genomics","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Genetic epidemiology; Data science; Genomics; Epidemiology; Human genome; Biobank; Value (mathematics); Genome-wide association study; Genomic information; Computational biology; Genome; Computer science; Biology; Bioinformatics; Medicine; 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":[0.005807301,0.001073882,0.001902091,0.003833811,0.0005331254,0.002590168,0.002074215,0.003664605,0.011569],"category_scores_gemma":[0.01245015,0.0005917577,0.0008967179,0.002806077,0.001033439,0.006786026,0.001844732,0.005244766,0.01010946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002354692,"about_ca_system_score_gemma":0.003898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009717452,"about_ca_topic_score_gemma":0.01206039,"domain_scores_codex":[0.9983262,0.0007816177,0.0001426288,0.0001596419,0.0005073792,0.00008259722],"domain_scores_gemma":[0.9957623,0.002027718,0.0004510433,0.0001600406,0.001357536,0.0002413667],"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":[0.00003723386,0.00003465147,0.0004616351,0.003748176,0.0001380321,0.0002340301,0.0001125996,0.0006019261,0.0001404454,0.02101945,0.2808371,0.6926348],"study_design_scores_gemma":[0.00001430333,0.00001629387,0.0003606495,0.003466967,0.00005029546,0.0004178942,0.0001116896,0.00009279972,0.00006306419,0.009697178,0.9856856,0.00002338548],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001289642,0.90179,0.003118369,0.08046848,0.005390192,0.00004207793,0.0002896817,0.0001631733,0.008609097],"genre_scores_gemma":[0.001645821,0.9720088,0.004526308,0.01434827,0.002857324,0.00004787614,0.0003472375,0.00002986778,0.004188506],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.011569,"threshold_uncertainty_score":0.03870213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2039772175077691,"score_gpt":0.4306911717723419,"score_spread":0.2267139542645728,"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."}}