{"id":"W2237733240","doi":"","title":"Education Spending and Workforce Quality as Determinants of Economic Growth","year":2016,"lang":"en","type":"article","venue":"Journal of rural and community development","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Workforce; Political science; Jurisdiction; Educational attainment; Demographics; Welfare economics; Humanities; Economics; Economic growth; Sociology; Demography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0009901394,0.0001432597,0.0001542073,0.001004161,0.0001803046,0.0007225295,0.0001814133,0.000190779,0.006699239],"category_scores_gemma":[0.004913955,0.00007072103,0.0003116721,0.001455208,0.0004192898,0.0004247561,0.0008201103,0.0005694222,0.0005799494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004187278,"about_ca_system_score_gemma":0.0005208806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01210056,"about_ca_topic_score_gemma":0.01249483,"domain_scores_codex":[0.9995841,0.0001400558,0.00002073588,0.00003241456,0.00007328025,0.0001493617],"domain_scores_gemma":[0.9942332,0.002344739,0.001765188,0.0001750454,0.0004175011,0.00106435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000026219,0.00002752084,0.9944426,0.00001183712,0.00002248927,0.00003783657,0.00009176675,0.000422014,0.00004010541,0.0004568946,0.0002700111,0.004150647],"study_design_scores_gemma":[0.000001945627,0.00001802072,0.9980718,0.0000163682,0.000007355077,0.00002743595,0.0002564041,0.0004859205,0.00003301864,0.0002187229,0.0008614893,0.000001473304],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925544,0.0007515235,0.0003167486,0.0006193361,0.00001323551,0.00000699011,0.0007973477,0.000009368997,0.004931061],"genre_scores_gemma":[0.9977641,0.0003176559,0.00007504458,0.00003062747,0.0000214332,0.000005701884,0.0004794801,0.000004075299,0.001301934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01210056,"threshold_uncertainty_score":0.02406031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06088755080026627,"score_gpt":0.2902706868792376,"score_spread":0.2293831360789713,"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."}}