{"id":"W1980684575","doi":"10.1186/gm9","title":"ASHG 2008 Annual Meeting: from enormous cohorts to individual genomes","year":2009,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"Human genetics; Library science; Political science; Medicine; Biology; Genetics; Computer science","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":[0.02099356,0.001464586,0.001234133,0.002364297,0.001028952,0.002884734,0.00161983,0.003300003,0.02343766],"category_scores_gemma":[0.01692142,0.0007148648,0.001075119,0.002251922,0.000567217,0.002380128,0.004911277,0.004133842,0.009835687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001557081,"about_ca_system_score_gemma":0.004701194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007410159,"about_ca_topic_score_gemma":0.02750031,"domain_scores_codex":[0.9975721,0.001024367,0.0001409067,0.0003314086,0.0006599924,0.000271135],"domain_scores_gemma":[0.9857486,0.003344645,0.0005840547,0.00144308,0.004588556,0.004291164],"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":[0.0001208386,0.00001162557,0.002010182,0.00009315144,0.00003395296,0.0000340825,0.00004447222,0.00005302514,0.0001407165,0.0002163167,0.9760746,0.02116692],"study_design_scores_gemma":[0.0002186672,0.00007857521,0.04115831,0.0005161528,0.0001350779,0.0002413664,0.0002691734,0.0002546012,0.0003264324,0.002418878,0.9543313,0.0000513896],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01952303,0.05836657,0.01598189,0.5627786,0.1148129,0.0009683103,0.1932876,0.004203872,0.03007723],"genre_scores_gemma":[0.1009966,0.05979116,0.07651798,0.1871037,0.1079411,0.005647317,0.3170955,0.002973579,0.141933],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02343766,"threshold_uncertainty_score":0.1110259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008550018830225756,"score_gpt":0.2420995959514183,"score_spread":0.2335495771211925,"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."}}