{"id":"W2910645688","doi":"10.7554/elife.39856","title":"Genomics of 1 million parent lifespans implicates novel pathways and common diseases and distinguishes survival chances","year":2019,"lang":"en","type":"article","venue":"eLife","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":311,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research","funders":"Estonian Research Competency Council; SystemsX.ch; Tartu Ülikool; Svenska Forskningsrådet Formas; Medical Research Council; Wellcome; AXA Research Fund; National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Wellcome Trust","keywords":"Biology; Genomics; Computational biology; Genetics; Evolutionary biology; Developmental biology; Systems biology; Bioinformatics; Genome; 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":[0.001546342,0.0003216922,0.0003985739,0.0008025397,0.0004280427,0.0007075327,0.0002592037,0.0006317954,0.004485524],"category_scores_gemma":[0.003340285,0.0001630892,0.0004237532,0.0008332132,0.0003377354,0.0004433317,0.0005012684,0.00065801,0.0006133915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002644324,"about_ca_system_score_gemma":0.0002601073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001996616,"about_ca_topic_score_gemma":0.003119322,"domain_scores_codex":[0.9995603,0.0001218177,0.00002576909,0.0001755082,0.00008133577,0.00003520235],"domain_scores_gemma":[0.9980631,0.0009479179,0.000453402,0.000216381,0.0001656862,0.0001534456],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001551819,0.00009950607,0.6225442,0.0004777986,0.001153615,0.002940165,0.001988763,0.001793189,0.0596512,0.01228644,0.04578188,0.2497315],"study_design_scores_gemma":[0.00005166903,0.000275034,0.904374,0.0001107071,0.0004651556,0.004148055,0.000520199,0.001219583,0.00615654,0.01001883,0.0725966,0.0000636831],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.882613,0.01128727,0.05667111,0.01077188,0.001905941,0.00004229963,0.02005394,0.001085207,0.01556924],"genre_scores_gemma":[0.9425732,0.006252798,0.03089879,0.00226178,0.000888193,0.00009539184,0.006897044,0.000326602,0.009806131],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004485524,"threshold_uncertainty_score":0.01500553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02024856125923217,"score_gpt":0.2572841023827137,"score_spread":0.2370355411234815,"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."}}