{"id":"W3011489637","doi":"10.1503/cmaj.190655","title":"Association between Chinese or South Asian ethnicity and end-of-life care in Ontario, Canada","year":2020,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Palliative Care and End-of-Life Issues","field":"Medicine","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fowler Kennedy Sport Medicine Clinic; University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Medicine; Ethnic group; End-of-life care; Demography; Confidence interval; Intensive care unit; Poisson regression; Population; Gerontology; Palliative care; Chinese people; Cohort; Relative risk; Cohort study; Internal medicine; China; Geography; Environmental health; Nursing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0007381352,0.0003684305,0.0004860647,0.001114736,0.003604159,0.001107525,0.001546104,0.0003895433,0.002997698],"category_scores_gemma":[0.002478268,0.0003341473,0.000795222,0.003221446,0.0009586922,0.0003740963,0.001137883,0.000789022,0.0002041747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03226792,"about_ca_system_score_gemma":0.04937341,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9969609,"about_ca_topic_score_gemma":0.9983966,"domain_scores_codex":[0.9989686,0.000080132,0.00008328565,0.0001750531,0.000298665,0.0003942678],"domain_scores_gemma":[0.9962077,0.0001860332,0.0009615973,0.0001241557,0.001563498,0.0009570453],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003992463,0.0000124314,0.9955916,0.00004009236,0.00004655619,0.0001083007,0.0008156541,0.00005374097,0.00007237702,0.0001069324,0.001607385,0.001505195],"study_design_scores_gemma":[0.00001069926,0.00001117416,0.9965487,0.00007675208,0.00003694386,0.00008546218,0.001753847,0.0002282698,0.00003394105,0.00004388011,0.001158927,0.00001142602],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9837503,0.001816527,0.0002299823,0.001941608,0.00005030507,0.00007069568,0.006955323,0.00001727954,0.00516805],"genre_scores_gemma":[0.9955065,0.000929385,0.0001784381,0.000284882,0.00001453155,0.00002878296,0.001498261,0.000009078943,0.001550161],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03226792,"threshold_uncertainty_score":0.2341212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04436428715738209,"score_gpt":0.3214508410696758,"score_spread":0.2770865539122936,"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."}}