{"id":"W4317474345","doi":"10.1007/s40273-022-01232-9","title":"Whether and How Disutilities of Adverse Events were Used in the Economic Evaluation of Drug Therapy for Cancer Treatment","year":2023,"lang":"en","type":"review","venue":"PharmacoEconomics","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Government of Jiangsu Province","keywords":"Quality of Life Research; Health economics; Medicine; Adverse effect; Public health; Cancer therapy; Drug; Cancer; Health administration; Cancer drugs; Intensive care medicine; Pharmacotherapy; Pharmacoeconomics; Pharmacology; Internal medicine; Nursing","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.01894457,0.0004792919,0.003338711,0.0005488113,0.00008402384,0.00002131216,0.0004849381,0.0002026562,0.0002322763],"category_scores_gemma":[0.0002323014,0.0004505155,0.0006070535,0.0001004544,0.0001097692,0.0003400838,0.00004616056,0.0001601479,0.0000805755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00225493,"about_ca_system_score_gemma":0.001055567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001536775,"about_ca_topic_score_gemma":0.001109572,"domain_scores_codex":[0.9939423,0.0009324051,0.003934798,0.0007204733,0.00008806508,0.0003819116],"domain_scores_gemma":[0.9914876,0.002812808,0.004982906,0.0005783158,0.00005647117,0.0000819582],"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":[0.0004367656,0.001494969,0.03819375,0.1100606,0.01120204,0.000001288382,0.0504708,0.008165224,0.000001791288,0.05025022,0.02751382,0.7022087],"study_design_scores_gemma":[0.004735107,0.0001148797,0.0005346836,0.001674335,0.0005136779,0.000001950603,0.002411734,0.01122211,0.000005081942,0.005101834,0.9729997,0.0006849465],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.05920348,0.924333,0.00001093517,0.002668461,0.0009545825,0.006439803,0.006238178,0.00001760956,0.0001339045],"genre_scores_gemma":[0.006372788,0.988605,0.00006979501,0.0002752709,0.0003386326,0.003665765,0.0002090187,0.0001055111,0.0003582485],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9454858,"threshold_uncertainty_score":0.9997947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6428468017640477,"score_gpt":0.5620661032464104,"score_spread":0.08078069851763736,"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."}}