{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008743095,0.0009038751,0.0004540235,0.001131725,0.0002900322,0.001035608,0.0006937962,0.0004816258,0.001941394],"category_scores_gemma":[0.02503462,0.0003232891,0.001969537,0.001405083,0.0004808756,0.0006754191,0.001403999,0.0009956197,0.0004651743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001728754,"about_ca_system_score_gemma":0.002509714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03712407,"about_ca_topic_score_gemma":0.02044453,"domain_scores_codex":[0.9966587,0.002509172,0.0001004832,0.0003128304,0.0002515389,0.0001673019],"domain_scores_gemma":[0.9937774,0.004211129,0.0007810564,0.0004126956,0.0006322392,0.000185441],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005224945,0.0002528878,0.8589728,0.0001463831,0.0007163791,0.00006139831,0.0007512803,0.07328123,0.0006754913,0.001087764,0.002235539,0.06129635],"study_design_scores_gemma":[0.00007462072,0.0006088789,0.5874676,0.0001192797,0.0003240391,0.0001050007,0.001135704,0.4043297,0.001485396,0.002646661,0.001635995,0.00006707163],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9753801,0.000243431,0.02153313,0.0003412598,0.00003618048,0.0001377404,0.001089673,0.000111668,0.00112686],"genre_scores_gemma":[0.9946901,0.00005529054,0.00414883,0.00005076069,0.000005408811,0.00007503117,0.000630448,0.00001799172,0.0003260505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03712407,"threshold_uncertainty_score":0.07381594,"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."}}