{"id":"W4401980795","doi":"10.1038/s41698-024-00673-z","title":"Pharmacogenomic discovery of genetically targeted cancer therapies optimized against clinical outcomes","year":2024,"lang":"en","type":"article","venue":"npj Precision Oncology","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Spinal Cord Injury Alberta; Queen's University","funders":"Canadian Institutes of Health Research","keywords":"Pharmacogenomics; Medicine; Cancer; Computational biology; Oncology; Pharmacology; Internal medicine; 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":[],"consensus_categories":[],"category_scores_codex":[0.0004669726,0.0002024025,0.0004527548,0.00007536008,0.0000408765,0.00004179796,0.0003004252,0.0003095316,0.0001506799],"category_scores_gemma":[0.0002463077,0.0001648225,0.0003399062,0.00009101625,0.0002022629,0.000006508119,0.0002469236,0.0001793324,0.00002017864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005984867,"about_ca_system_score_gemma":0.0006509249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003032577,"about_ca_topic_score_gemma":0.00004262603,"domain_scores_codex":[0.998257,0.0001649767,0.0006665891,0.0005157554,0.000136167,0.0002594702],"domain_scores_gemma":[0.9988381,0.0004813676,0.000126602,0.0003462498,0.0001067682,0.0001008977],"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":[0.001094182,0.0003610348,0.01294702,0.00003733341,0.0008312232,0.0000311598,0.0001219885,0.001737341,0.6525533,0.0002594744,0.02159477,0.3084312],"study_design_scores_gemma":[0.004969714,0.00198808,0.02414254,0.00008284104,0.0003070011,0.00001502316,0.00009386616,0.002643739,0.1511077,0.0007099594,0.8132277,0.000711849],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9726406,0.01734409,0.004774658,0.0007274099,0.002668395,0.0003221066,0.000247339,0.00002149611,0.001253863],"genre_scores_gemma":[0.9547568,0.0368689,0.005482923,0.001273398,0.0005863723,0.00006896947,0.0000993521,0.00004592148,0.0008173749],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7916329,"threshold_uncertainty_score":0.6721267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0274380312851634,"score_gpt":0.3832039368663704,"score_spread":0.355765905581207,"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."}}