{"id":"W1016828332","doi":"10.1007/978-1-4615-1017-8_5","title":"Convergence in Government Spending","year":2002,"lang":"en","type":"book-chapter","venue":"","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Economics; Per capita income; Per capita; Lagging; Convergence (economics); Labour economics; Human capital; Government spending; Demographic economics; Macroeconomics; Economic growth; Market economy; 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":[0.001668849,0.0004042554,0.0006693664,0.002464437,0.001095343,0.003503664,0.0004535842,0.001167301,0.01661168],"category_scores_gemma":[0.008004841,0.0002610765,0.0004049607,0.003241155,0.002243915,0.004737401,0.001980516,0.002704126,0.003162252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002942276,"about_ca_system_score_gemma":0.001199399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002932408,"about_ca_topic_score_gemma":0.002108482,"domain_scores_codex":[0.9990984,0.0002890115,0.00003957814,0.0002112926,0.0002196219,0.0001421371],"domain_scores_gemma":[0.9983908,0.0005064998,0.0001622435,0.0003007969,0.0004918574,0.0001477844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00004107577,0.00002514017,0.001209295,0.00002275735,0.000009906297,0.00004302907,0.0005062137,0.001391794,0.00007645199,0.9424084,0.01396042,0.04030543],"study_design_scores_gemma":[0.00001276519,0.00001572778,0.004634358,0.0001251887,0.00001087215,0.00014917,0.0004286805,0.003681362,0.0003321905,0.9323646,0.05823494,0.000009965699],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07082441,0.007657997,0.01982177,0.01252098,0.0005696115,0.00003102312,0.0004683298,0.0002507815,0.8878551],"genre_scores_gemma":[0.8105021,0.006919697,0.006948168,0.001449775,0.001020092,0.00009862579,0.0005055295,0.000273415,0.1722826],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01661168,"threshold_uncertainty_score":0.05557168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05305161613070775,"score_gpt":0.1905667792437299,"score_spread":0.1375151631130222,"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."}}