{"id":"W2799578117","doi":"10.1002/hpja.165","title":"How much does Australia spend on prevention and how would we know whether it is enough?","year":2018,"lang":"en","type":"article","venue":"Health Promotion Journal of Australia","topic":"Global Public Health Policies and Epidemiology","field":"Business, Management and Accounting","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Health and Medical Research Council; Foundation for Alcohol Research and Education","keywords":"Gross domestic product; Per capita; Health economics; Government (linguistics); Health care; Welfare; Government spending; Population health; Demographic economics; Economic growth; Medicine; Development economics; Business; Economics; Environmental health; Population","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004753363,0.0005204173,0.001071871,0.001989955,0.002108449,0.005021202,0.00125099,0.003031175,0.009485318],"category_scores_gemma":[0.01244189,0.0004670366,0.0009420795,0.00243969,0.003184828,0.005800827,0.00267848,0.004618406,0.002543918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008380802,"about_ca_system_score_gemma":0.02214059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1220682,"about_ca_topic_score_gemma":0.1047131,"domain_scores_codex":[0.995789,0.001522434,0.0002223784,0.000375456,0.001190317,0.0009005215],"domain_scores_gemma":[0.9922708,0.0009383867,0.0009749821,0.0002471051,0.0023457,0.003223155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003681577,0.0002871107,0.04767177,0.008974407,0.0008792718,0.0006886276,0.007294068,0.001183318,0.00141269,0.06342732,0.4451968,0.4226165],"study_design_scores_gemma":[0.00007246425,0.0004910242,0.2075738,0.01323947,0.0003711884,0.0005709683,0.006744826,0.001123231,0.0007658748,0.02555571,0.7433007,0.000190743],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.03514779,0.1094711,0.001199207,0.8180343,0.007037797,0.0000689515,0.002256289,0.0001006742,0.02668387],"genre_scores_gemma":[0.4448262,0.2376769,0.004493493,0.2761181,0.006633625,0.0002978866,0.001968032,0.0001830593,0.02780288],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1220682,"threshold_uncertainty_score":0.2427153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.200655532820166,"score_gpt":0.41930092627983,"score_spread":0.218645393459664,"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."}}