{"id":"W2094456586","doi":"10.1126/science.1198039","title":"Deflating the Genomic Bubble","year":2011,"lang":"en","type":"article","venue":"Science","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":218,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Bubble; Computer science; Computational biology; Biology; Operating system","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":[0.0002002161,0.00004363714,0.00002544206,0.00001500757,0.0002113167,0.00002098747,0.0002964063,0.00001771418,0.00002842943],"category_scores_gemma":[0.00005500999,0.00003204515,0.00002371184,0.00008630377,0.0003506926,0.000002671493,0.0000947727,0.00002065679,0.00002347648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005058011,"about_ca_system_score_gemma":0.0001102155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001069072,"about_ca_topic_score_gemma":0.000008688176,"domain_scores_codex":[0.9995011,0.00001062649,0.00006051327,0.0001827722,0.00008562174,0.0001593812],"domain_scores_gemma":[0.9996053,0.00000213707,0.0000227808,0.0002533413,0.00005190026,0.00006453079],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001082843,0.00002308394,0.01198545,0.000002643134,0.000001897906,5.70506e-7,0.0001688007,0.000005373401,0.9858817,0.000273962,0.0003456974,0.001299937],"study_design_scores_gemma":[0.0002777897,0.0001284702,0.1669112,0.000005063342,0.00001005003,0.00001096064,0.0003669909,0.00009041469,0.8135219,0.00334995,0.01514792,0.0001792463],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888453,0.0006844399,0.000355824,0.00003766606,0.0001328352,0.00005898919,0.000002654399,0.000005677518,0.00987656],"genre_scores_gemma":[0.9980645,0.00004506935,0.001231851,0.0002916552,0.0001073902,0.00000501117,0.000002048552,0.000003719861,0.000248752],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1723599,"threshold_uncertainty_score":0.1625299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0213473199021073,"score_gpt":0.2403856728576961,"score_spread":0.2190383529555888,"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."}}