{"id":"W4404533449","doi":"10.1007/s10198-024-01729-4","title":"Cancer-specific utility: clinical validation of the EORTC QLU-C10D in patients with glioblastoma","year":2024,"lang":"en","type":"article","venue":"The European Journal of Health Economics","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Organisation for Research and Treatment of Cancer","keywords":"Ceiling effect; Medicine; Quality of life (healthcare); EQ-5D; Clinical trial; Construct validity; Physical therapy; Cancer; Health related quality of life; Statistics; Disease; Internal medicine; Psychometrics; Clinical psychology; Alternative medicine; Pathology; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02568828,0.0004614556,0.001045106,0.001195736,0.0002857549,0.0009542475,0.0006630252,0.000614604,0.0009353083],"category_scores_gemma":[0.03831349,0.0002241072,0.001615477,0.001650814,0.0008157102,0.000700022,0.001008743,0.0005629599,0.0002237103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001202777,"about_ca_system_score_gemma":0.001002559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001950455,"about_ca_topic_score_gemma":0.002069623,"domain_scores_codex":[0.9875623,0.008552618,0.001219697,0.0008764677,0.001442655,0.0003463137],"domain_scores_gemma":[0.9854484,0.006742336,0.004677369,0.0009112829,0.00188262,0.0003379491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02355491,0.0006732841,0.889819,0.000904582,0.002409175,0.00005850871,0.0002454105,0.002942651,0.0004635892,0.0003151847,0.001619453,0.07699427],"study_design_scores_gemma":[0.003019497,0.006656807,0.9777599,0.0003874608,0.001696041,0.0002676836,0.0001369723,0.005882581,0.0008878122,0.0006364033,0.002609241,0.00005963454],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857954,0.006379299,0.002272164,0.0003598331,0.00005768839,0.001093111,0.00231608,0.00002444337,0.001702019],"genre_scores_gemma":[0.9960024,0.0004751955,0.001210113,0.0001292939,0.00001833614,0.0005664697,0.001475182,0.000005314339,0.0001177338],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02568828,"threshold_uncertainty_score":0.1358542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3023429838245463,"score_gpt":0.4177161737719429,"score_spread":0.1153731899473965,"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."}}