{"id":"W7027382740","doi":"","title":"Clubes de convergência de renda na América: uma abordagem através de painel dinâmico não-linear com variável limiar","year":2013,"lang":"en","type":"article","venue":"Americanae (AECID Library)","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); Absolute convergence; Sample (material); Conditional convergence; Panel data; Autoregressive model","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005856443,0.0004398996,0.0008634249,0.0003147323,0.0002375266,0.000132678,0.0008184707,0.0002779441,0.002571337],"category_scores_gemma":[0.0002529208,0.0005344388,0.0002747349,0.0005858594,0.0002856261,0.001511404,0.0002198639,0.0006390723,0.001525892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002637782,"about_ca_system_score_gemma":0.0002701744,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03931007,"about_ca_topic_score_gemma":0.00003749675,"domain_scores_codex":[0.9968659,0.0001291351,0.0008568835,0.0009129502,0.00005677393,0.001178349],"domain_scores_gemma":[0.9976306,0.0003078368,0.0005709991,0.0008770192,0.00002998794,0.0005835575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003668334,0.0001743482,0.9099771,0.00004433192,0.0001602528,0.00001894582,0.0005790024,0.0001509247,0.0001958331,0.02415186,0.05533001,0.009180647],"study_design_scores_gemma":[0.0008695725,0.0002562414,0.8896279,0.00002029795,0.00002521226,0.00002412291,0.0002536518,0.02271531,0.00112599,0.02535659,0.05872139,0.001003761],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.961439,0.001041662,0.01171017,0.009388749,0.0004439498,0.0003975541,0.000268733,0.0002868954,0.01502337],"genre_scores_gemma":[0.9749091,0.001498019,0.01335084,0.006100459,0.0005239367,0.0001032926,0.00006252372,0.0001315905,0.003320228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03927258,"threshold_uncertainty_score":0.9997107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0162078288304731,"score_gpt":0.1949954654687394,"score_spread":0.1787876366382663,"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."}}