{"id":"W2003343351","doi":"10.1002/gepi.21818","title":"Drinking From the Holy Grail: Analysis of Whole‐Genome Sequencing From the Genetic Analysis Workshop 18","year":2014,"lang":"en","type":"article","venue":"Genetic Epidemiology","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; Public Health Ontario; University of Toronto","funders":"National Institutes of Health; National Institute of General Medical Sciences; Canada Research Chairs","keywords":"Holy Grail; Biology; Genetics; Genetic analysis; Computational biology; Evolutionary biology; Computer science; Gene; World Wide Web","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01004947,0.0006532811,0.0008426629,0.002302904,0.001242008,0.002517507,0.001223614,0.001127411,0.03089332],"category_scores_gemma":[0.01442349,0.0007171637,0.001175606,0.00234239,0.0004511089,0.001251961,0.00201376,0.002155175,0.01233374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007120344,"about_ca_system_score_gemma":0.002293466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001623469,"about_ca_topic_score_gemma":0.003551977,"domain_scores_codex":[0.9959097,0.001967135,0.0001421945,0.0004450204,0.001276917,0.000259003],"domain_scores_gemma":[0.9901338,0.004067922,0.0004101286,0.001916049,0.002133621,0.001338446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0005968361,0.0003015589,0.009476252,0.0005602879,0.0003193775,0.0005477558,0.0009744522,0.004412927,0.02724932,0.01006198,0.5904176,0.3550816],"study_design_scores_gemma":[0.0002107014,0.0003708976,0.07270682,0.0005978849,0.0001410795,0.0007803148,0.001493097,0.01891566,0.02178704,0.06427458,0.8184227,0.0002991586],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1766283,0.009433403,0.5144219,0.0570919,0.01234924,0.001762691,0.1031439,0.0174513,0.1077174],"genre_scores_gemma":[0.2234691,0.003933393,0.4388298,0.01196098,0.001494313,0.002231953,0.1346488,0.01584094,0.1675906],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03089332,"threshold_uncertainty_score":0.1033485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03715229684920085,"score_gpt":0.2913861216637965,"score_spread":0.2542338248145957,"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."}}