{"id":"W2157224084","doi":"10.1002/humu.20972","title":"Planning the Human Variome Project: The Spain report","year":2009,"lang":"en","type":"article","venue":"Human Mutation","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Alberta; Artificial Intelligence in Medicine (Canada); University of Toronto; Mount Sinai Hospital","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Human Genome Research Institute; European Commission","keywords":"International HapMap Project; Biology; Human genetic variation; Human genome; 1000 Genomes Project; Human genetics; Genomics; Population; Human disease; Computational biology; Data science; Genome; Genetics; Genotype; Computer science; 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":[0.03713313,0.001466236,0.0007234349,0.002440683,0.001415334,0.005463074,0.002694015,0.005641135,0.009046099],"category_scores_gemma":[0.02074618,0.0008274785,0.001236203,0.002267715,0.0009050041,0.002486621,0.004645242,0.003893976,0.009410175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006235967,"about_ca_system_score_gemma":0.02737772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08232901,"about_ca_topic_score_gemma":0.06991396,"domain_scores_codex":[0.9927205,0.002819864,0.0004317513,0.0006127503,0.002155808,0.001259372],"domain_scores_gemma":[0.9834265,0.001995474,0.0007984763,0.001297772,0.005943718,0.006538031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006754317,0.0002222506,0.01041084,0.0005854635,0.00007858593,0.0009832901,0.0008201997,0.003080244,0.001776382,0.01289377,0.8727256,0.09574784],"study_design_scores_gemma":[0.0002638883,0.0001016653,0.01060164,0.0004948397,0.00004811069,0.0001440149,0.0008277179,0.001158302,0.001414189,0.006757631,0.9781159,0.00007210866],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.03970928,0.02657195,0.1127679,0.5331476,0.02561558,0.008364661,0.09932888,0.005187178,0.149307],"genre_scores_gemma":[0.1031276,0.02070641,0.3700095,0.08499242,0.006852929,0.009663347,0.2120702,0.004565566,0.1880119],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.08232901,"threshold_uncertainty_score":0.1963811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02467794336087998,"score_gpt":0.3244933684376692,"score_spread":0.2998154250767892,"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."}}