{"id":"W4361296618","doi":"10.17269/s41997-023-00751-y","title":"The political and fiscal determinants of public health and curative care expenditures: evidence from the Canadian provinces, 1980–2018","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Global Health Care Issues","field":"Health Professions","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University; University of Toronto; Université de Montréal","funders":"Canadian Institutes of Health Research; Fonds de Recherche du Québec-Société et Culture","keywords":"Austerity; Health care; Public health; Politics; Public economics; Economics; Political science; Economic growth; Development economics; Medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.007353728,0.0002734555,0.0007090292,0.0004653773,0.004787572,0.0002036202,0.0007899451,0.0002638437,0.00004375162],"category_scores_gemma":[0.007390434,0.0001726773,0.00007490711,0.0005672952,0.0008857468,0.0005199792,0.00009865095,0.001387347,0.00002478617],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.005187515,"about_ca_system_score_gemma":0.1328294,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9521488,"about_ca_topic_score_gemma":0.9985776,"domain_scores_codex":[0.9902462,0.003931296,0.001610316,0.0003644517,0.0006471931,0.003200499],"domain_scores_gemma":[0.982532,0.003536323,0.001073646,0.0005079132,0.0007691977,0.01158089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000125954,0.000007178996,0.7296389,0.0004583472,0.00003740067,0.00007645523,0.0785703,1.775184e-7,2.187022e-7,0.01233082,0.1284873,0.05038027],"study_design_scores_gemma":[0.0003656909,0.0004671496,0.459661,0.001082985,0.000005630463,0.00005044599,0.2161983,0.00003222176,3.66136e-7,0.0005403294,0.3214614,0.0001344108],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5014939,0.03339292,0.00001199476,0.4609215,0.001743494,0.001250703,0.0009015596,0.00002061552,0.0002633088],"genre_scores_gemma":[0.9825376,0.001914172,0.0001014214,0.01460299,0.0006577131,0.00003067822,0.00003081839,0.00003393957,0.0000906511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4810437,"threshold_uncertainty_score":0.9986314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2108983935431573,"score_gpt":0.4584236963900515,"score_spread":0.2475253028468942,"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."}}