{"id":"W3175346233","doi":"","title":"Optimizing safety of cisplatin treatment: Utilizing pharmacogenomics to prevent nephrotoxicity","year":2021,"lang":"en","type":"article","venue":"UvA-DARE (University of Amsterdam)","topic":"Chemotherapy-induced organ toxicity mitigation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute; Genome British Columbia; Lembaga Pengelola Dana Pendidikan; Michael Smith Health Research BC; Roche Nederland; Princess Margaret Cancer Foundation; Canadian Institutes of Health Research; Genome Canada","keywords":"Pharmacogenomics; Nephrotoxicity; Cisplatin; Medicine; Pharmacology; Intensive care medicine; Toxicity; Internal medicine; Chemotherapy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001242174,0.0001956016,0.0005147163,0.0001689803,0.000126739,0.000007604542,0.0001429869,0.0001157167,0.0008220831],"category_scores_gemma":[0.00003139742,0.0002472269,0.000239703,0.0004189844,0.00008089048,0.0001481512,0.000129742,0.0001271388,0.00001918489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004690941,"about_ca_system_score_gemma":0.0002680961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001541302,"about_ca_topic_score_gemma":0.0001092883,"domain_scores_codex":[0.9987947,0.00007258385,0.0002657545,0.000365212,0.000262373,0.0002393849],"domain_scores_gemma":[0.9988812,0.00007041224,0.0002168886,0.000398528,0.0002259149,0.0002070289],"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":[0.0006254257,0.0005467439,0.0009436225,0.0001806493,0.0003147807,0.000104747,0.009513338,0.0002214715,0.9633806,0.00005408042,0.0001586596,0.02395588],"study_design_scores_gemma":[0.003661988,0.0004022681,0.005831163,0.0003304396,0.0002780162,0.00004731113,0.005595558,0.0006922335,0.9790679,0.00001917922,0.003860157,0.0002138076],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912403,0.0001055976,0.003351876,0.001358945,0.00006841335,0.0006264655,0.0001032159,0.00004912745,0.003096035],"genre_scores_gemma":[0.971738,0.0001485081,0.0265875,0.0002413048,0.000052952,4.885838e-7,0.00007493229,0.00002817553,0.001128167],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02374207,"threshold_uncertainty_score":0.999998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02350221994341218,"score_gpt":0.2574378595234036,"score_spread":0.2339356395799914,"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."}}