{"id":"W2904276266","doi":"10.1177/0269216318819607","title":"Measuring the quality of dying and death in advanced cancer: Item characteristics and factor structure of the Quality of Dying and Death Questionnaire","year":2018,"lang":"en","type":"article","venue":"Palliative Medicine","topic":"Palliative Care and End-of-Life Issues","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Princess Margaret Cancer Centre; University Health Network","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Palliative care; Confirmatory factor analysis; Exploratory factor analysis; Psychosocial; Psychological intervention; Cancer; Quality of life (healthcare); Gerontology; Cronbach's alpha; Family medicine; Clinical psychology; Psychometrics; Psychiatry; Structural equation modeling; Nursing; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.005696271,0.0002224766,0.0003627661,0.001026431,0.0002834442,0.0004038485,0.0005304299,0.0002657279,0.0009130207],"category_scores_gemma":[0.008947048,0.000136583,0.0007830226,0.001113222,0.0003302103,0.0004034348,0.0007814916,0.000413677,0.00008258154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009433392,"about_ca_system_score_gemma":0.001064816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007201911,"about_ca_topic_score_gemma":0.01534765,"domain_scores_codex":[0.998359,0.0007478321,0.0002365445,0.00009046539,0.0004621677,0.0001039699],"domain_scores_gemma":[0.9922248,0.002779918,0.002199951,0.0002841052,0.001911092,0.0006001592],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001604912,0.00007429099,0.9821454,0.0001515957,0.0002678909,0.00002553069,0.0006517653,0.000488868,0.0002894155,0.0001073608,0.0008608908,0.01477646],"study_design_scores_gemma":[0.00003057638,0.0001384666,0.9973446,0.00005552174,0.00003694425,0.00005102611,0.0004456828,0.0006916007,0.00008772371,0.00009346657,0.001014302,0.00001006444],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930998,0.0005880669,0.002091832,0.0002260169,0.00001775791,0.0005885713,0.002198001,0.00001631774,0.001173581],"genre_scores_gemma":[0.9917437,0.0002164903,0.004769193,0.00005253746,0.000007538576,0.0006894294,0.002229846,0.000003220203,0.0002880453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007201911,"threshold_uncertainty_score":0.03012508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2127346242086995,"score_gpt":0.4540659344421154,"score_spread":0.2413313102334159,"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."}}