{"id":"W3121978732","doi":"","title":"Is Post-Communist Health Spending Unusual?","year":2000,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Global Health Care Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Per capita; Economics; Per capita income; Demographic economics; Post communist; Demographics; Labour economics; Development economics; Politics; Demography; Political science; Population","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004958934,0.0001267439,0.0002381556,0.001198832,0.0004178782,0.001430624,0.0002229416,0.0003920533,0.003441463],"category_scores_gemma":[0.002751986,0.00009770897,0.0002339774,0.003345257,0.0009168596,0.000940735,0.0006367289,0.0004837063,0.0003019031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001083376,"about_ca_system_score_gemma":0.0005874165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02124136,"about_ca_topic_score_gemma":0.04295013,"domain_scores_codex":[0.9993913,0.00009035637,0.00004105758,0.00007390486,0.000103036,0.0003002197],"domain_scores_gemma":[0.995458,0.0005912648,0.002734469,0.0002782928,0.0004291821,0.0005087805],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006974665,0.00001481611,0.981865,0.0000552943,0.00007945843,0.0002488321,0.0008702807,0.0001311465,0.0002474267,0.002302685,0.001783482,0.01233188],"study_design_scores_gemma":[0.000001208448,0.000007561898,0.9971504,0.00002134957,0.000007351301,0.0001274925,0.0006654125,0.00005229017,0.00005192879,0.0002368497,0.001675127,0.000003095838],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9837565,0.0007942991,0.00008136345,0.004773614,0.00003446828,0.000004089485,0.001498154,0.000008757052,0.009048646],"genre_scores_gemma":[0.9978155,0.0006879661,0.00002472622,0.0002042006,0.000110227,0.000001914966,0.0007256665,0.000003669635,0.0004260182],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02124136,"threshold_uncertainty_score":0.04223543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03829151447275378,"score_gpt":0.4411754690511075,"score_spread":0.4028839545783538,"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."}}