{"id":"W2155097838","doi":"10.1016/j.jval.2013.08.554","title":"Utility Mapping of the EORTC QLQ-C30 onto EQ-5D in Patients with Soft Tissue Sarcoma","year":2013,"lang":"en","type":"article","venue":"Value in Health","topic":"Colorectal Cancer Treatments and Studies","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"GlaxoSmithKline (Canada)","funders":"","keywords":"Statistics; Mean squared error; Mathematics; Quality of life (healthcare); Gee; Population; Ordinary least squares; Medicine; Standard error; Linear regression; Soft tissue sarcoma; Generalized estimating equation; Surgery; Soft tissue","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00179138,0.0002422467,0.0003780289,0.0008815621,0.0001427722,0.001026205,0.0003423759,0.0002786878,0.001504561],"category_scores_gemma":[0.01008616,0.0001108638,0.0008135526,0.001273254,0.0004029278,0.0006968138,0.0008388382,0.0005687938,0.0001699755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008855854,"about_ca_system_score_gemma":0.0004645663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0071775,"about_ca_topic_score_gemma":0.005045501,"domain_scores_codex":[0.9993068,0.0004265642,0.00003434697,0.00006547179,0.00008267613,0.0000842207],"domain_scores_gemma":[0.9980474,0.001333419,0.0002426267,0.0001074418,0.0001838458,0.00008542287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001250279,0.00006147619,0.946444,0.0000807959,0.0003060276,0.00008150006,0.0002649597,0.006406568,0.0004751334,0.0007848319,0.0007191641,0.04312526],"study_design_scores_gemma":[0.00007273534,0.0006344098,0.9771048,0.00005606419,0.0002770379,0.0001712809,0.0006793213,0.01782123,0.0003367314,0.002089612,0.000735171,0.00002153443],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951165,0.001048383,0.0009596553,0.0002761948,0.00001486671,0.00001631986,0.0005155109,0.000009830591,0.002042845],"genre_scores_gemma":[0.9995377,0.00007788483,0.0001411223,0.0000257342,0.000002700224,0.000004510571,0.0001424759,0.000002383662,0.00006552965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0071775,"threshold_uncertainty_score":0.01427144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05963277054384196,"score_gpt":0.2865171320741606,"score_spread":0.2268843615303187,"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."}}