{"id":"W2884544913","doi":"","title":"The Determinants of Public Health Expenditures: Comparing Canada and Spain","year":2018,"lang":"en","type":"article","venue":"Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)","topic":"Global Health Care Issues","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Per capita; Public health; Health care; Per capita income; Demographic economics; Differential (mechanical device); Public expenditure; Geography; Economics; Business; Public finance; Economic growth; Environmental health; Demography; Population; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00185534,0.0002597591,0.0006688639,0.0001439644,0.002946312,0.00000842914,0.001048559,0.0001226851,0.0001381453],"category_scores_gemma":[0.0004037737,0.0002440849,0.0001021574,0.000190859,0.001403778,0.0001356172,0.001019063,0.0006739463,0.0000156544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005804839,"about_ca_system_score_gemma":0.003329263,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7464242,"about_ca_topic_score_gemma":0.9830283,"domain_scores_codex":[0.9954314,0.001825422,0.0006317438,0.0004384297,0.0006295909,0.001043452],"domain_scores_gemma":[0.9959483,0.001528068,0.0007604779,0.0008208122,0.0003513805,0.0005910022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001031056,0.0002568406,0.7006021,0.001826301,0.0002870846,0.0001090405,0.1626999,0.000002943976,0.0001036206,0.005328849,0.06824888,0.05950337],"study_design_scores_gemma":[0.00151705,0.0004798309,0.454027,0.0008362042,0.00002702197,0.00001606556,0.1595068,0.002157283,0.00001219491,0.0002874418,0.3808164,0.0003167281],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9816859,0.001264917,0.00006445746,0.003039059,0.0003985015,0.0007229332,0.0002734024,0.00004615337,0.01250469],"genre_scores_gemma":[0.9953719,0.001181069,0.001150309,0.0004605125,0.00009427606,0.000001372173,0.00002908909,0.00002467357,0.001686739],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3125675,"threshold_uncertainty_score":0.9983517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07275381390241042,"score_gpt":0.339523942993548,"score_spread":0.2667701290911376,"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."}}