{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.006683342,0.0005757477,0.001993809,0.0001663763,0.0007430895,0.00003568607,0.0009850414,0.001488024,0.00006045397],"category_scores_gemma":[0.001656935,0.0004150083,0.0006669096,0.0001921804,0.0002278079,0.000002442118,0.0002890341,0.00125331,0.00006612995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003614469,"about_ca_system_score_gemma":0.002505128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009987423,"about_ca_topic_score_gemma":0.00009916273,"domain_scores_codex":[0.9935583,0.002354679,0.001696634,0.0009457424,0.0001074911,0.001337139],"domain_scores_gemma":[0.9959459,0.0004658465,0.001626887,0.00141304,0.0001071911,0.0004411433],"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":[0.000002530772,0.0001291339,0.00007760493,0.001087708,0.0003161464,0.000001036302,0.00008225026,0.00009033261,0.00006549111,0.002688393,0.004963028,0.9904963],"study_design_scores_gemma":[0.0001138115,0.000169128,0.00016955,0.00007949962,0.00006376137,0.00005368291,0.0000211019,0.00002548636,1.796523e-7,0.0003599326,0.998596,0.0003479204],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001389536,0.9915454,0.001976973,0.002374066,0.0008603575,0.001119561,0.0002020676,0.00002197736,0.0005101062],"genre_scores_gemma":[0.0001528541,0.988045,0.002213743,0.005425224,0.001752004,0.0001481294,0.001709938,0.0001178746,0.0004352593],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9936329,"threshold_uncertainty_score":0.9998302,"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."}}