{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001874392,0.0002813504,0.001487653,0.0003670215,0.00006003401,0.000001265113,0.0002149514,0.00009502639,0.00009105104],"category_scores_gemma":[0.0198478,0.0001828512,0.0001478386,0.001292787,0.0007286667,0.00004237833,0.00005506323,0.0002164296,4.632714e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001221078,"about_ca_system_score_gemma":0.0008354258,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0203247,"about_ca_topic_score_gemma":0.0006132857,"domain_scores_codex":[0.9961283,0.0008596226,0.001469612,0.0003430424,0.0009450246,0.0002543628],"domain_scores_gemma":[0.9912944,0.00534711,0.001464676,0.0004845617,0.001264066,0.0001451186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005953768,0.0001423586,0.9480224,0.001031382,0.0002092683,0.000003564542,0.006460233,0.0002744886,0.03813411,0.002502815,0.00006888794,0.00255511],"study_design_scores_gemma":[0.002358206,0.001036902,0.8637695,0.003161887,0.0004760492,7.879661e-7,0.0107455,0.0001360516,0.1175451,0.0002375405,0.0003456321,0.0001869277],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9599677,0.004522484,0.03151227,0.001120117,0.0001556954,0.0007270949,0.0003602616,0.00002157471,0.001612819],"genre_scores_gemma":[0.9324495,0.0000227335,0.06679971,0.0002895097,0.000197695,0.00001547849,0.0001975427,0.00002117601,0.000006684493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08425295,"threshold_uncertainty_score":0.9884084,"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."}}