{"id":"W4414291109","doi":"10.1007/s00181-025-02820-2","title":"Econometric analysis of the long-run relationship between preventive care spending and mortality: evidence from OECD countries, 1970–2019","year":2025,"lang":"en","type":"article","venue":"Empirical Economics","topic":"Global Health Care Issues","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Canadian Institutes of Health Research","keywords":"Econometric analysis; Preventive care; Econometric model; Statistical analysis; Trend analysis","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002064892,0.0004177399,0.0004956363,0.002493443,0.000318045,0.001018374,0.0003879511,0.0004618215,0.002732688],"category_scores_gemma":[0.005814356,0.0002124253,0.001768356,0.00446869,0.000587134,0.0004522253,0.0009190369,0.0009653805,0.0004931004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00186006,"about_ca_system_score_gemma":0.00150784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1755012,"about_ca_topic_score_gemma":0.08062536,"domain_scores_codex":[0.9993038,0.0002295643,0.00006528348,0.00008034992,0.0000996081,0.0002214189],"domain_scores_gemma":[0.9941339,0.002769268,0.001979966,0.0003402709,0.0005148377,0.0002618094],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001296342,0.00008075449,0.9592761,0.0001313547,0.0007298444,0.0005142296,0.0002137294,0.02004786,0.00008027221,0.002510603,0.006464528,0.009820944],"study_design_scores_gemma":[0.00002769561,0.0000631609,0.9800763,0.0001356659,0.000557007,0.00009609116,0.0009646551,0.01067576,0.0002139381,0.0009661226,0.006192007,0.0000315832],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9617529,0.00612029,0.002425297,0.002594117,0.0001109708,0.00003138687,0.02186602,0.0001048829,0.004994204],"genre_scores_gemma":[0.9793844,0.002455143,0.0004864571,0.0002245115,0.00009176085,0.00003369145,0.01626606,0.00001438098,0.001043718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1755012,"threshold_uncertainty_score":0.3489594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1566203630125701,"score_gpt":0.4830922498914829,"score_spread":0.3264718868789128,"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."}}