{"id":"W2894329622","doi":"10.1200/jco.2018.36.30_suppl.185","title":"The influence of patient-reported adverse events on Health Utility Score (HUS) and Health-Related Quality of Life (HRQoL) in small cell lung cancer (SCLC) and non-small cell lung cancer (NSCLC) patients.","year":2018,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Economic and Financial Impacts of Cancer","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Princess Margaret Cancer Centre; Public Health Ontario","funders":"","keywords":"Medicine; Nausea; Common Terminology Criteria for Adverse Events; Internal medicine; Lung cancer; Vomiting; Constipation; Rash; Quality of life (healthcare); Adverse effect; Cancer","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002210819,0.0001961512,0.0002899828,0.0006569107,0.0002495514,0.0006883931,0.000273114,0.0003664266,0.001176519],"category_scores_gemma":[0.009099972,0.0001704225,0.0009754495,0.0007436707,0.0002869711,0.0004912422,0.0005457506,0.0006407007,0.0001514772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004913189,"about_ca_system_score_gemma":0.0002650867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00255257,"about_ca_topic_score_gemma":0.003841726,"domain_scores_codex":[0.9986563,0.0006551661,0.0001302796,0.0001605892,0.0002414484,0.0001563095],"domain_scores_gemma":[0.9935049,0.002596722,0.002598591,0.0001439648,0.0003974466,0.0007583257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009844919,0.00001452734,0.9990109,0.000005904,0.00007470629,0.00001234038,0.00001741587,0.000050859,0.00001667863,0.000004942758,0.00003427412,0.0006590155],"study_design_scores_gemma":[0.000003560395,0.00009416274,0.9995195,0.000002643319,0.00002218758,0.00004246426,0.00003486648,0.000229986,0.00001114064,0.000007902284,0.00002990259,0.000001642409],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989671,0.0004421103,0.00005070538,0.00006121657,0.000005092615,0.000004801488,0.0002299749,0.000001758055,0.0002372529],"genre_scores_gemma":[0.999692,0.00003982636,0.00002480336,0.00001487066,0.00000403411,0.000002783491,0.0001901722,4.724033e-7,0.00003111917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00255257,"threshold_uncertainty_score":0.01169211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1092300475691237,"score_gpt":0.3927858307219786,"score_spread":0.2835557831528548,"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."}}