{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005803793,0.0001564379,0.0005289154,0.0006345356,0.00005499485,0.00006992547,0.000276459,0.0001091593,0.00003216799],"category_scores_gemma":[0.0001139431,0.0001502832,0.0001587826,0.00006573879,0.00009298503,0.0005674644,0.0001334995,0.0001136291,0.00004819454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005665703,"about_ca_system_score_gemma":0.00004109726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001365189,"about_ca_topic_score_gemma":0.0004248254,"domain_scores_codex":[0.9982901,0.00001295895,0.001157076,0.0003147539,0.00002152031,0.0002036438],"domain_scores_gemma":[0.998652,0.000216888,0.000902935,0.0001219689,0.00003213103,0.00007409377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005370994,0.00001631273,0.7471096,0.000002673231,0.0001509068,0.000002951055,0.00007663589,0.0001438317,8.10604e-7,0.2512355,0.0001382161,0.001068897],"study_design_scores_gemma":[0.001288644,0.00005978046,0.7957733,0.00001638711,0.00002329366,0.00001880668,0.000007175035,0.0009478162,0.00002655149,0.1945804,0.007063897,0.0001939439],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895301,0.00043718,0.0002331068,0.006799441,0.0004152077,0.00007068174,0.0006076921,0.000002645965,0.001903898],"genre_scores_gemma":[0.9974684,0.001258257,0.0002816639,0.0002637526,0.0003875358,0.000004507159,0.000006218442,0.00001475163,0.0003149789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05665508,"threshold_uncertainty_score":0.612837,"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."}}