{"id":"W2994408753","doi":"","title":"Education and Economic Growth: Is Tertiary Education for all Workers Optimal?","year":2017,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tertiary level; Higher education; Tertiary sector of the economy; Tertiary care; Economics; Demographic economics; Socioeconomics; Economic growth; Demography; Mathematics; Medicine; Mathematics education; Sociology; Economy; Surgery","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":[0.0005744047,0.0001888432,0.0004585117,0.0008411951,0.0007079823,0.001995069,0.0003599481,0.0006440603,0.007916806],"category_scores_gemma":[0.003149864,0.00006974935,0.0003541476,0.001148607,0.001296606,0.001198563,0.001045384,0.0008470422,0.0003860029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001679432,"about_ca_system_score_gemma":0.00187911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0199199,"about_ca_topic_score_gemma":0.03230185,"domain_scores_codex":[0.9993154,0.0001276475,0.00001913129,0.00005357372,0.00006638224,0.0004179187],"domain_scores_gemma":[0.997831,0.0006861684,0.0006704325,0.00005417217,0.0001447635,0.0006134948],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006380211,0.0004031985,0.8236958,0.000369414,0.0001647007,0.0006452188,0.001305424,0.006447867,0.0006503978,0.05855456,0.005529214,0.1015961],"study_design_scores_gemma":[0.00009099039,0.0001943664,0.9067493,0.0005212967,0.0001321569,0.0001779682,0.01003622,0.00404592,0.0007394677,0.06667808,0.01060465,0.0000296466],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9451437,0.003921296,0.0009212426,0.01977915,0.00006769791,0.00001303311,0.0006551606,0.00001298312,0.02948575],"genre_scores_gemma":[0.9980912,0.0005391272,0.00008039727,0.0002481176,0.00004124478,0.000003282037,0.00008254981,0.000002023872,0.000912035],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0199199,"threshold_uncertainty_score":0.03960788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03387372770838502,"score_gpt":0.3223014658365284,"score_spread":0.2884277381281434,"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."}}