{"id":"W2948648714","doi":"10.1016/j.jpainsymman.2019.05.014","title":"Validation of the Chinese Version of the Good Death Inventory for Evaluating End-of-Life Care From the Perspective of the Bereaved Family","year":2019,"lang":"en","type":"article","venue":"Journal of Pain and Symptom Management","topic":"Palliative Care and End-of-Life Issues","field":"Medicine","cited_by":51,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"McGill University; China Medical Board","keywords":"Medicine; Cronbach's alpha; Quality of life (healthcare); End-of-life care; Palliative care; Place of death; Gerontology; Family medicine; Demography; Psychometrics; Clinical psychology; Nursing","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009262703,0.0006852546,0.0006598756,0.00105885,0.00108697,0.001002996,0.0008612768,0.0005326883,0.00138977],"category_scores_gemma":[0.01239088,0.0003099946,0.001222969,0.0006872673,0.0009144081,0.0009491891,0.001347331,0.001077726,0.0002852042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001368565,"about_ca_system_score_gemma":0.003540868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008042042,"about_ca_topic_score_gemma":0.01405848,"domain_scores_codex":[0.9969311,0.00121524,0.0005436726,0.0002640577,0.000820188,0.0002257641],"domain_scores_gemma":[0.9954529,0.001532461,0.0005825821,0.0004154666,0.001757269,0.0002593432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009819383,0.001319097,0.9099189,0.000294431,0.0005473489,0.0003829862,0.01060273,0.001055854,0.004561913,0.001465304,0.002968855,0.06590064],"study_design_scores_gemma":[0.0002677714,0.00108589,0.9848121,0.0001633386,0.0002043386,0.0004529461,0.004493083,0.003245834,0.001556618,0.0006705738,0.002961322,0.00008614967],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9931279,0.0002791438,0.002268918,0.0002650423,0.0001373983,0.0008860418,0.0004461701,0.000015822,0.002573609],"genre_scores_gemma":[0.9895704,0.0002470859,0.006658299,0.0002551715,0.00003545759,0.001416287,0.0008694521,0.00001616256,0.0009315859],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.009262703,"threshold_uncertainty_score":0.04898638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05516907105188738,"score_gpt":0.3691778596104278,"score_spread":0.3140087885585404,"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."}}