{"id":"W3020084470","doi":"10.1002/hed.26181","title":"Mapping the <scp>EORTC QLQ‐C30</scp> and <scp>QLQ‐H</scp>&amp;<scp>N35</scp>, onto <scp>EQ‐5D‐5L</scp> and <scp>HUI</scp>‐3 indices in patients with head and neck cancer","year":2020,"lang":"en","type":"article","venue":"Head & Neck","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sinai Health System; Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"","keywords":"Head and neck; Medicine; Head and neck cancer; Cancer; Ordinary least squares; Internal medicine; Oncology; Surgery; Mathematics; Statistics","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":["metaresearch","metaepi_narrow","sts","scholarly_communication"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.007114057,0.001626939,0.003581581,0.001201734,0.001381897,0.001131131,0.001218026,0.0009967755,0.00004183966],"category_scores_gemma":[0.01184429,0.001683507,0.0003244227,0.001687103,0.0007926511,0.002061051,0.0007572552,0.001727726,0.0006559301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009819239,"about_ca_system_score_gemma":0.0007838767,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00817311,"about_ca_topic_score_gemma":0.00847098,"domain_scores_codex":[0.9864175,0.0009580296,0.005712141,0.003195847,0.0008250696,0.002891392],"domain_scores_gemma":[0.9836864,0.008197776,0.004305755,0.001599966,0.0003744651,0.001835561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001122178,0.000333572,0.8903472,0.001518459,0.0004103725,0.00001608974,0.03574323,0.0002620359,0.00002801471,0.00178048,0.06888123,0.0006681109],"study_design_scores_gemma":[0.00529608,0.0006722621,0.6338065,0.0007525052,0.0000775873,0.00002714986,0.01178382,0.001709869,0.00003049516,0.001359655,0.3443005,0.000183514],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9624072,0.02139604,0.0002331416,0.003862335,0.0009712944,0.003729081,0.001270345,0.000280717,0.005849876],"genre_scores_gemma":[0.9618642,0.004606626,0.002296217,0.0239148,0.001611692,0.0009163452,0.0004336638,0.0004680006,0.003888462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2754193,"threshold_uncertainty_score":0.9999182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.20249790989739,"score_gpt":0.3422049349004352,"score_spread":0.1397070250030453,"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."}}