{"id":"W2465340358","doi":"10.1177/0269216316659603","title":"Measuring the quality of life of people at the end of life: The McGill Quality of Life Questionnaire–Revised","year":2016,"lang":"en","type":"article","venue":"Palliative Medicine","topic":"Cancer survivorship and care","field":"Medicine","cited_by":144,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Clinical Evaluation Research Unit; Providence Health Care Research Institute; Queen's University; Trinity Western University; Jewish General Hospital; Centre for Advancing Health Outcomes; Western University; University of Victoria; McGill University; Kingston General Hospital; Providence Health Care","funders":"McGill University","keywords":"Quality of life (healthcare); McGill Pain Questionnaire; Confirmatory factor analysis; Medicine; Palliative care; Quality (philosophy); Gerontology; Outpatient clinic; Psychology; Computer science; Nursing; Physical therapy; Structural equation modeling","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":[0.004004669,0.0003285329,0.0005089068,0.001870625,0.0002219543,0.000587792,0.0008927372,0.0004219595,0.001988194],"category_scores_gemma":[0.01371222,0.0001303628,0.0009219908,0.001714724,0.0003952333,0.001003923,0.0009957701,0.0008608031,0.0002757254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009486918,"about_ca_system_score_gemma":0.0009936587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003125279,"about_ca_topic_score_gemma":0.005475095,"domain_scores_codex":[0.9970787,0.001159381,0.0004207932,0.0002132154,0.0009478353,0.0001802237],"domain_scores_gemma":[0.9924415,0.001754784,0.002929507,0.0002528426,0.00190698,0.0007142379],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007190376,0.0004483371,0.7912347,0.002199896,0.0009023721,0.0002464403,0.001807334,0.001854953,0.001814023,0.001103963,0.02646215,0.1712069],"study_design_scores_gemma":[0.0001116465,0.0008822409,0.9828092,0.0007599182,0.0001673467,0.0004430317,0.0005758727,0.0008399111,0.0003568096,0.0005560712,0.01242049,0.00007747599],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9268747,0.01776745,0.01295462,0.003588624,0.0003193756,0.003493706,0.02157472,0.0001329174,0.01329397],"genre_scores_gemma":[0.9656358,0.003130616,0.01740634,0.0009500517,0.00008290754,0.003209544,0.008394262,0.0000174564,0.001173021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004004669,"threshold_uncertainty_score":0.02117896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1123749011845786,"score_gpt":0.3607922262351657,"score_spread":0.2484173250505871,"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."}}