{"id":"W2787303594","doi":"","title":"CONVERGENCE HYPOTHESIS: AN APPLICATION ON SELECTED OECD COUNTRIES","year":2018,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Convergence (economics); Unit root; Unit root test; Economics; Per capita income; Panel data; China; Development economics; Demographic economics; Developing country; Closing (real estate); Distribution (mathematics); Divergence (linguistics); Income distribution; Unit (ring theory); Geography; Economic growth; Inequality; Cointegration; Demography; Econometrics","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":[0.005476196,0.0003776136,0.000543,0.005014448,0.0008075202,0.001091511,0.00047761,0.0003736838,0.004754408],"category_scores_gemma":[0.01192731,0.00008503666,0.0008686681,0.005178948,0.0008047954,0.0009898198,0.001358834,0.000512088,0.0003886324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009537212,"about_ca_system_score_gemma":0.001345316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01625783,"about_ca_topic_score_gemma":0.006965461,"domain_scores_codex":[0.9980248,0.001251,0.0001221959,0.0001698141,0.0002359079,0.000196295],"domain_scores_gemma":[0.9926715,0.00471395,0.0008376579,0.0003864644,0.001156682,0.000233701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006623152,0.0003572482,0.843214,0.0004875777,0.000582721,0.003020884,0.0031298,0.01652241,0.0004149379,0.03396847,0.007252111,0.09038754],"study_design_scores_gemma":[0.0004130478,0.002009135,0.8052887,0.0007343506,0.001129234,0.001744503,0.03839822,0.08954568,0.002895883,0.02772906,0.02999683,0.0001153471],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9546611,0.000730743,0.01023429,0.0005195428,0.00006873712,0.0002819612,0.00177469,0.00009216835,0.03163673],"genre_scores_gemma":[0.9942389,0.0004095952,0.002914798,0.00006594808,0.00002940893,0.0001717196,0.001162051,0.00001303178,0.0009945933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01625783,"threshold_uncertainty_score":0.0323264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2419496922522114,"score_gpt":0.4591885662668446,"score_spread":0.2172388740146332,"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."}}