{"id":"W2034275171","doi":"10.1016/j.drudis.2013.11.001","title":"Current status and future prospects of toxicogenomics in drug discovery","year":2013,"lang":"en","type":"review","venue":"Drug Discovery Today","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":41,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Canadian Institutes of Health Research","keywords":"Toxicogenomics; Drug discovery; Computational biology; Drug; Pharmaceutical sciences; Pharmacology; Medicine; Bioinformatics; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001018958,0.001086919,0.002688242,0.000855515,0.0001056899,0.001086094,0.00192312,0.0002334592,0.00001220393],"category_scores_gemma":[0.0001029667,0.0009028651,0.0006664703,0.001449399,0.0002169699,0.004156616,0.001968508,0.001021424,0.00003641876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005467592,"about_ca_system_score_gemma":0.001682341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001606138,"about_ca_topic_score_gemma":0.00008131233,"domain_scores_codex":[0.993774,0.0009528627,0.001721357,0.001712333,0.0008647269,0.000974729],"domain_scores_gemma":[0.9958982,0.001089149,0.001128029,0.001505652,0.0001072559,0.000271717],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000777398,0.0003190978,0.00009661397,0.008319053,0.00009654533,0.00001820408,0.0009133244,0.0002483934,0.000001290334,0.07767212,0.0008184458,0.9114891],"study_design_scores_gemma":[0.0005166458,0.00004115068,0.00041194,0.006194196,0.0001584197,0.00003001343,0.00009947534,0.0008418251,0.00002400035,0.008745216,0.9816114,0.001325701],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002412269,0.9871608,0.004812957,0.0001245477,0.002648249,0.001989654,0.000333132,0.00007390227,0.0004445048],"genre_scores_gemma":[0.0002961819,0.9931285,0.004862876,0.0000399955,0.0006006898,0.0002585183,0.0001836662,0.00009682577,0.0005327258],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.980793,"threshold_uncertainty_score":0.9999509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02446687771881925,"score_gpt":0.3183259572856064,"score_spread":0.2938590795667871,"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."}}