{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002046527,0.0002484333,0.0002918423,0.0001080982,0.0001139608,0.00001639065,0.0003202309,0.00014077,0.0002187178],"category_scores_gemma":[0.0001192543,0.0002307786,0.00007088866,0.0001383099,0.0001032132,0.000003452836,0.0001220231,0.00008211484,0.00005295033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001974662,"about_ca_system_score_gemma":0.00008188859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000543477,"about_ca_topic_score_gemma":0.00002685966,"domain_scores_codex":[0.9983327,0.00005217475,0.0003357904,0.0005409896,0.0003277237,0.000410603],"domain_scores_gemma":[0.9987886,0.00001271802,0.00007976838,0.0004871461,0.0001510206,0.0004807545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005245821,0.0004197002,0.01200344,0.00002639051,0.0002165609,0.0001020463,0.002174429,0.0001280455,0.8312892,0.00003750908,0.1267591,0.02631897],"study_design_scores_gemma":[0.003849061,0.003414441,0.3108176,0.00005913972,0.000259714,0.00003631941,0.001105268,0.000003750168,0.02445944,0.001471302,0.6536714,0.0008525164],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9636371,0.02838326,0.0004405802,0.002728449,0.0003223826,0.0003899208,0.00049782,0.00004026212,0.003560247],"genre_scores_gemma":[0.985664,0.001123674,0.001069556,0.006265263,0.003128488,0.00001744501,0.001911865,0.0000274197,0.0007923442],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8068298,"threshold_uncertainty_score":0.941088,"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."}}