{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003118817,0.0004438942,0.001509676,0.0001974424,0.0003594716,0.00002233578,0.001326081,0.0005989969,0.000267629],"category_scores_gemma":[0.004742741,0.0002968794,0.001113923,0.001439758,0.0005569998,0.000003579014,0.0004662776,0.0003563818,0.00002994085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005678428,"about_ca_system_score_gemma":0.000110993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003825731,"about_ca_topic_score_gemma":0.004766829,"domain_scores_codex":[0.992532,0.003663232,0.001575225,0.001171836,0.0002077864,0.000849878],"domain_scores_gemma":[0.9912437,0.005113687,0.001091155,0.002189308,0.0001994667,0.0001627031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000217719,0.00002138343,0.8202317,0.000001730235,0.007795596,9.331098e-7,0.000273167,0.136529,0.02905896,0.00006450932,0.001442803,0.00455837],"study_design_scores_gemma":[0.0002756056,0.00008943633,0.9586805,0.000006579592,0.006298694,0.000001858698,0.0003184265,0.02159739,0.0001023304,0.003293756,0.009020505,0.0003148806],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8014259,0.006359015,0.1888774,0.002491969,0.0002067315,0.0002204497,0.000220257,0.00001755906,0.0001807544],"genre_scores_gemma":[0.9665011,0.001047914,0.02458405,0.005202686,0.0007888153,0.00006524305,0.001612628,0.0000390357,0.0001585085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1650752,"threshold_uncertainty_score":0.9999483,"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."}}