{"id":"W2914100918","doi":"10.1177/1179554919829500","title":"Access to Palliative Care for Cancer Patients Living in a Northern and Rural Environment in Ontario, Canada: The Effects of Geographic Region and Rurality on End-of-Life Care in a Population-Based Decedent Cancer Cohort","year":2019,"lang":"en","type":"article","venue":"Clinical Medicine Insights Oncology","topic":"Palliative Care and End-of-Life Issues","field":"Medicine","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Partnership Against Cancer; Cancer Care Ontario; Ontario Stroke Network; Northeast Cancer Centre; NOSM University; Laurentian University; Health Sciences North","funders":"Canadian Institutes of Health Research; Ontario Institute for Cancer Research; Ontario Ministry of Health and Long-Term Care; Government of Ontario; Institute for Clinical Evaluative Sciences; Cancer Care Ontario","keywords":"Rurality; Palliative care; End-of-life care; Medicine; Rural area; Population; Odds ratio; Family medicine; Gerontology; Nursing; Environmental health","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":[],"consensus_categories":[],"category_scores_codex":[0.0002107988,0.000175142,0.00109037,0.0001828797,0.00002003146,0.00000140064,0.0001069217,0.0001607292,0.00001577397],"category_scores_gemma":[0.001242323,0.0001124753,0.00005104814,0.0001556765,0.0001933989,0.00002953285,0.00005726161,0.0002850278,5.361488e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00113003,"about_ca_system_score_gemma":0.001007356,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9304486,"about_ca_topic_score_gemma":0.9978218,"domain_scores_codex":[0.9980673,0.0002533967,0.000892635,0.000318983,0.0002719402,0.0001957236],"domain_scores_gemma":[0.9951763,0.003967026,0.0003735872,0.0001889183,0.000161535,0.0001326387],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001019273,0.000166855,0.9812389,0.0005929957,0.00005499808,0.000007123742,0.01097741,0.0001482035,0.0000121646,0.000005649692,0.000009575071,0.005766843],"study_design_scores_gemma":[0.005535585,0.002932969,0.9830872,0.005207099,0.00009652366,7.429095e-8,0.002333474,0.00004781441,0.00004950415,0.0000156127,0.0005938167,0.0001002808],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931784,0.002991253,0.000002843838,0.001111673,0.0003596016,0.002311905,0.00001009976,0.000002127458,0.00003212991],"genre_scores_gemma":[0.9970632,0.001400325,0.00001987076,0.00112967,0.000046245,0.0002889604,0.00003710419,0.00001097327,0.00000369862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06737324,"threshold_uncertainty_score":0.4586608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08054192620698813,"score_gpt":0.4237900307381516,"score_spread":0.3432481045311634,"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."}}