{"id":"W2553921930","doi":"10.5539/ijef.v8n12p113","title":"Relationship between Economic Growth, Unemployment and Poverty: Analysis at Provincial Level in Vietnam","year":2016,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Poverty; Economics; Investment (military); Poverty reduction; Demographic economics; Sample (material); Development economics; Economic growth; Political science; Politics","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":[0.0003647735,0.0001011465,0.0002365931,0.0008360999,0.0006802399,0.0005973154,0.00024735,0.000132504,0.001537971],"category_scores_gemma":[0.001198071,0.0001619224,0.0003295738,0.001972761,0.0002916502,0.0003056845,0.0007084085,0.0003892176,0.0001107845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002065219,"about_ca_system_score_gemma":0.002912833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4773546,"about_ca_topic_score_gemma":0.5159875,"domain_scores_codex":[0.9996538,0.00007145102,0.00001904872,0.00003767136,0.00005187346,0.00016615],"domain_scores_gemma":[0.9987844,0.0001875441,0.0003380763,0.0000366739,0.0002598676,0.0003934571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002149723,0.0000144288,0.9973676,0.00001065179,0.00002761321,0.00007263673,0.0004637873,0.0002925061,0.00005144108,0.0001397174,0.0001441393,0.001393968],"study_design_scores_gemma":[0.000001613362,0.00001439146,0.9959784,0.00001057589,0.00001151447,0.00003661295,0.002686741,0.0008407779,0.00002606824,0.00004294484,0.0003477005,0.000002661015],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989686,0.00007747521,0.00005044655,0.00007267067,0.000001568047,0.000003524436,0.0003233739,0.000001305352,0.0005011317],"genre_scores_gemma":[0.9994499,0.00005594996,0.00003202981,0.00000600262,9.56683e-7,0.00000297525,0.0002398559,7.442019e-7,0.0002115458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4773546,"threshold_uncertainty_score":0.9491521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05147524039755226,"score_gpt":0.2460983582039018,"score_spread":0.1946231178063495,"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."}}