{"id":"W2018585202","doi":"10.2174/1389200003339081","title":"Is it Possible to More Accurately Predict which Drug Candidates will cause Idiosyncratic Drug Reactions","year":2000,"lang":"en","type":"review","venue":"Current Drug Metabolism","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Drug; Drug reaction; Drug development; Drug discovery; Pharmacology; Medicine; Bioinformatics; Biology","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":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.001827514,0.001686224,0.003326216,0.001521567,0.0006174399,0.001380912,0.00457955,0.0002434103,0.0002976825],"category_scores_gemma":[0.0005131852,0.001474879,0.001134232,0.005172682,0.0001259884,0.002609235,0.001355239,0.00173752,0.001401393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004015388,"about_ca_system_score_gemma":0.003132337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00020938,"about_ca_topic_score_gemma":0.0000812227,"domain_scores_codex":[0.9899096,0.001914985,0.002359312,0.002601527,0.001845517,0.001369023],"domain_scores_gemma":[0.9929577,0.001505237,0.001034337,0.002929349,0.0005847145,0.0009886988],"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":[0.000007509558,0.0002631954,0.000003626679,0.003937723,0.000383667,0.00001741155,0.003899891,0.001290797,3.098824e-7,0.002288593,0.1365356,0.8513716],"study_design_scores_gemma":[0.000318577,0.000008141751,0.00003518028,0.00696687,0.001108338,0.00007237037,0.0000455944,0.005038231,0.00002040371,0.001534528,0.9834009,0.001450847],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001975362,0.9771056,0.007595557,0.002785368,0.007588601,0.002466437,0.0009527988,0.0004875408,0.0008205582],"genre_scores_gemma":[0.00005342237,0.9850418,0.007004779,0.0004371087,0.001379393,0.0007402386,0.0004482823,0.0001688133,0.004726183],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8499208,"threshold_uncertainty_score":0.9996557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09221617532129152,"score_gpt":0.4080121615469505,"score_spread":0.315795986225659,"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."}}