{"id":"W3004686325","doi":"","title":"Costa Rica: Estimating the Non-accelerating Inflation Rate of Unemployment","year":2019,"lang":"es","type":"article","venue":"Revista de Ciencias Económicas","topic":"Business, Education, Mathematics Research","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"NAIRU; Economics; Unemployment; Inflation (cosmology); Quarter (Canadian coin); Keynesian economics; Output gap; Inflation rate; Misery index; Phillips curve; Unemployment rate; Great recession; Recession; Full employment; Labour economics; Macroeconomics; Monetary policy; Geography","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","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004026434,0.0003735223,0.0005917734,0.0003668135,0.0004986568,0.002050481,0.0009297577,0.0001361426,0.0008121992],"category_scores_gemma":[0.001446214,0.0003079577,0.0001709279,0.001679369,0.0002029254,0.001488206,0.000374143,0.0003817832,0.0009527602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000261989,"about_ca_system_score_gemma":0.0004424827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002796346,"about_ca_topic_score_gemma":0.00001148883,"domain_scores_codex":[0.9969695,0.0001042958,0.001154129,0.0005441492,0.0005408897,0.0006870396],"domain_scores_gemma":[0.9959188,0.0006118251,0.001504878,0.0009496475,0.0009742676,0.00004062453],"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":[0.00009423905,0.0009492526,0.7282541,0.02208493,0.0003596296,0.00001269691,0.003608698,0.01212011,0.03412744,0.1637369,0.01205955,0.02259247],"study_design_scores_gemma":[0.000902494,0.00004465076,0.188333,0.002550826,0.0002392194,0.00001090282,0.00123627,0.7875333,0.0009251842,0.002432132,0.01500411,0.0007879109],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9818642,0.0004132405,0.002306754,0.001712769,0.0003943752,0.001541037,0.000006181519,0.00005038333,0.01171105],"genre_scores_gemma":[0.995153,0.00006320544,0.002896702,0.0004943853,0.0008287938,0.00004707791,0.00003208726,0.00007234978,0.0004124107],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7754132,"threshold_uncertainty_score":0.9999372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03996637278125686,"score_gpt":0.3034727735294861,"score_spread":0.2635064007482292,"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."}}