{"id":"W2003674775","doi":"10.1177/0269216306072553","title":"Towards using administrative databases to measure population-based indicators of quality of end-of-life care: testing the methodology","year":2006,"lang":"en","type":"article","venue":"Palliative Medicine","topic":"Palliative Care and End-of-Life Issues","field":"Medicine","cited_by":154,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; University of Toronto; Cancer Care Nova Scotia; Dalhousie University","funders":"Canadian Institutes of Health Research; Canadian Breast Cancer Research Alliance; Breast Cancer Alliance; Cancer Research Institute","keywords":"Medicine; Reliability (semiconductor); Population; Database; Chart; Quality (philosophy); Measure (data warehouse); End-of-life care; Palliative care; Family medicine; Statistics; Environmental health; Nursing; Computer science","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.5075834,0.001411245,0.001364613,0.006852375,0.002107966,0.006324977,0.005821466,0.002236029,0.0006584445],"category_scores_gemma":[0.6235098,0.001596782,0.002088013,0.01023597,0.003238186,0.004712573,0.006019383,0.002509903,0.0003697755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005677949,"about_ca_system_score_gemma":0.01558913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04826386,"about_ca_topic_score_gemma":0.0332601,"domain_scores_codex":[0.3476331,0.5734798,0.03114673,0.007643909,0.03789878,0.00219768],"domain_scores_gemma":[0.2262765,0.5575921,0.05529276,0.07240278,0.08643348,0.002002495],"domain_codex":"methods","domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009837791,0.0008220958,0.9140412,0.0007792173,0.001158896,0.00009534636,0.00775922,0.005038457,0.0007056149,0.003847869,0.0007946477,0.06397377],"study_design_scores_gemma":[0.001942578,0.007267952,0.859183,0.002027352,0.00127557,0.0005688003,0.01127911,0.08837273,0.006089925,0.007150938,0.01430526,0.0005368789],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6362406,0.001258083,0.319521,0.003062016,0.0003892527,0.02773246,0.003569415,0.0003072966,0.007919939],"genre_scores_gemma":[0.6556586,0.0004666802,0.3214929,0.0009121831,0.0001791183,0.01880278,0.002048982,0.00007471826,0.0003641052],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5075834,"threshold_uncertainty_score":0.6072373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5910795181762741,"score_gpt":0.5335031872823485,"score_spread":0.05757633089392566,"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."}}