{"id":"W2069295409","doi":"10.1080/00036846.2011.583221","title":"Testing nonlinearities in economic growth in the OECD countries: an evidence from SETAR and STAR models","year":2011,"lang":"en","type":"article","venue":"Applied Economics","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"SETAR; Autoregressive model; Econometrics; STAR model; Null hypothesis; Economics; Null (SQL); Star (game theory); Infimum and supremum; Threshold model; Nonlinear system; Mathematics; Nonlinear autoregressive exogenous model; Linearity; Statistics; Autoregressive integrated moving average; Computer science; Physics; Time series","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"],"consensus_categories":[],"category_scores_codex":[0.001285382,0.0002969514,0.0006241756,0.0002180321,0.0001070948,0.000176349,0.0006171204,0.0001722565,0.0001814782],"category_scores_gemma":[0.000024073,0.0003331583,0.00005161008,0.00005239152,0.0001877686,0.001184138,0.0001365905,0.0002685231,0.0002149234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002547781,"about_ca_system_score_gemma":0.0000676491,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01384784,"about_ca_topic_score_gemma":0.004118629,"domain_scores_codex":[0.9976301,0.00002312928,0.001069372,0.0007871298,0.00001462158,0.0004756901],"domain_scores_gemma":[0.9985537,0.000430575,0.0003669562,0.0005471949,0.000009455664,0.00009210396],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000901822,0.00005721441,0.06003346,0.00002120569,0.00002609865,0.000002374227,0.01155219,0.003882811,0.000002364588,0.9239455,0.00001810847,0.0003684805],"study_design_scores_gemma":[0.0008506292,0.00007122002,0.03852813,0.00002336017,0.000008093971,0.000004278537,0.002699273,0.08197601,0.00005656763,0.8748746,0.0003519196,0.0005559354],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9812896,0.0008359086,0.0002610686,0.0001516112,0.0001734298,0.000410819,0.0004107299,0.00003025365,0.01643664],"genre_scores_gemma":[0.9924615,0.001387224,0.005167019,0.000648967,0.0001452737,0.00009818526,0.00002879816,0.00004679077,0.00001625541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0780932,"threshold_uncertainty_score":0.999912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09857480914446741,"score_gpt":0.2116606005165144,"score_spread":0.113085791372047,"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."}}