{"id":"W2031301571","doi":"10.1126/science.1214458","title":"Genomics Is Not Enough","year":2011,"lang":"en","type":"editorial","venue":"Science","topic":"Science, Research, and Medicine","field":"Medicine","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Genomics; Personalized medicine; Genomic medicine; Medical research; Engineering ethics; Disease; Precision medicine; Human disease; Data science; Computational biology; Biology; Genetics; Medicine; Biotechnology; Gene; Genome; Computer science; Engineering; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002708139,0.0002572538,0.0004831813,0.0005457817,0.000328246,0.00007417469,0.001345502,0.0003655834,0.0006402108],"category_scores_gemma":[0.003641747,0.0001887757,0.0001058592,0.001239343,0.003135791,0.0002091282,0.0003245161,0.001024623,0.0007052645],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003921221,"about_ca_system_score_gemma":0.008187892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002538072,"about_ca_topic_score_gemma":0.00001168289,"domain_scores_codex":[0.99387,0.0000184371,0.0003163867,0.001013015,0.003810765,0.0009713789],"domain_scores_gemma":[0.996883,0.0001911049,0.0001357679,0.001039403,0.0009556727,0.0007950221],"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":[0.00006759485,0.0000505264,0.00004382291,0.00007618584,0.000007428572,0.00006095843,0.001546511,3.647914e-8,0.007712201,0.00004708244,0.9836442,0.006743456],"study_design_scores_gemma":[0.0006075953,0.0004216941,0.0005545585,0.0001616324,0.00004428531,0.00001765258,0.0001491109,0.00002521292,0.01023982,0.00008352617,0.987498,0.000196883],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.004364734,0.0006256499,0.00003422459,0.0008801318,0.9521348,0.0004668095,0.00005554055,0.00007239044,0.04136573],"genre_scores_gemma":[0.003490339,0.001687166,0.00113497,0.001460679,0.9499266,0.00002205178,0.00002925883,0.0000388536,0.0422101],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.00779577,"threshold_uncertainty_score":0.9995771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05087832459080639,"score_gpt":0.3739350074477886,"score_spread":0.3230566828569822,"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."}}