{"id":"W2772072809","doi":"10.1007/s40273-017-0582-5","title":"Australian Utility Weights for the EORTC QLU-C10D, a Multi-Attribute Utility Instrument Derived from the Cancer-Specific Quality of Life Questionnaire, EORTC QLQ-C30","year":2017,"lang":"en","type":"article","venue":"PharmacoEconomics","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":132,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Centre for Applied Research in Cancer Control","funders":"National Health and Medical Research Council; Cancer Australia; Medical Research Council; Australian Government","keywords":"Quality of life (healthcare); Quality-adjusted life year; Life expectancy; Medicine; Health economics; Population; Psychology; Gerontology; Public health; Cost effectiveness; Environmental health; Nursing","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","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0177983,0.0005254043,0.001736155,0.0001022214,0.001849944,0.000421046,0.002304241,0.0002656048,0.001540224],"category_scores_gemma":[0.00300948,0.0004843343,0.0006020789,0.0000814557,0.0007283681,0.0009430491,0.0003384252,0.0004999684,0.0003694097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000780744,"about_ca_system_score_gemma":0.0003986328,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02396535,"about_ca_topic_score_gemma":0.004219143,"domain_scores_codex":[0.9910623,0.000646226,0.006043172,0.001291433,0.0001475368,0.0008093634],"domain_scores_gemma":[0.9868769,0.002777888,0.007000746,0.002691234,0.0002274778,0.000425769],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002889725,0.0004615356,0.9347941,0.0004173089,0.0009831579,3.882932e-7,0.002487837,0.0002548828,0.00004815056,0.01737142,0.03791839,0.004973892],"study_design_scores_gemma":[0.003763551,0.00003037813,0.8367364,0.00007125187,0.00006362337,6.544958e-7,0.0006347508,0.02750164,0.0003727835,0.004975914,0.1252542,0.0005947543],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.877095,0.006510282,0.009866132,0.08704919,0.004179416,0.003248116,0.01175182,0.00008083801,0.0002191563],"genre_scores_gemma":[0.9876571,0.003134517,0.001533825,0.00529757,0.001171201,0.0007851528,0.0001204251,0.00006350879,0.0002367262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.110562,"threshold_uncertainty_score":0.9997608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5925945040015864,"score_gpt":0.5019002339167253,"score_spread":0.09069427008486108,"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."}}