{"id":"W2810341349","doi":"10.23907/2017.025","title":"Analysis of the Medical Assistance in Dying Cases in Ontario: Understanding the Patient Demographics of Case Uptake in Ontario since the Royal Assent and Amendments of Bill C-14 in Canada","year":2017,"lang":"en","type":"article","venue":"Academic Forensic Pathology","topic":"Palliative Care and End-of-Life Issues","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Office of the Chief Medical Examiner; University of Ottawa","funders":"","keywords":"Legislation; Demographics; Legislature; Government (linguistics); Health care; Medicine; Family medicine; Demography; Political science; Law; Sociology","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.000894199,0.00013579,0.0006584584,0.0002367115,0.00004805444,0.000001984393,0.0002374042,0.0001818022,0.000009189389],"category_scores_gemma":[0.0009419754,0.00007321482,0.00007180926,0.0003688303,0.0007195359,0.00003268228,0.000148209,0.0009524642,1.369683e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001043776,"about_ca_system_score_gemma":0.001153003,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9911975,"about_ca_topic_score_gemma":0.9999236,"domain_scores_codex":[0.9981018,0.0002144888,0.0008142836,0.0002222701,0.0003968643,0.0002502602],"domain_scores_gemma":[0.9981768,0.0007723484,0.0005737286,0.0003840112,0.00004906684,0.00004406238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009880922,0.00003308349,0.9890715,0.00002122517,0.00008022491,0.001282325,0.008480542,0.0003650083,0.00006030969,0.0001713171,0.00001300734,0.0003226628],"study_design_scores_gemma":[0.0009939551,0.00007705638,0.987269,0.0007557557,0.0001892508,0.00009873544,0.008769816,0.001368877,0.0001482634,0.0002224908,0.00003907016,0.00006772341],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979768,0.0006994822,0.00002134595,0.000817109,0.0001202019,0.000241098,0.00001630808,8.766108e-7,0.0001067885],"genre_scores_gemma":[0.9995604,0.0001633103,0.00004979973,0.0001961712,0.000003712723,0.000009320833,0.000004424684,0.00000541593,0.000007416005],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008726032,"threshold_uncertainty_score":0.4138036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.131674837079706,"score_gpt":0.3544668729871252,"score_spread":0.2227920359074192,"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."}}