{"id":"W4313177120","doi":"10.46959/jeess.1087689","title":"THE RELATIONSHIP OF INFLATION, UNEMPLOYMENT AND ECONOMIC GROWTH PANEL DATA ANALYSIS IN SELECTED OECD COUNTRIES","year":2022,"lang":"en","type":"article","venue":"Journal of Empirical Economics and Social Sciences","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cointegration; Economics; Unemployment; Unit root; Inflation (cosmology); Causality (physics); Econometrics; Context (archaeology); Unit root test; Panel data; Misery index; Macroeconomics; Unemployment rate; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001408347,0.0002573264,0.0004795991,0.001996199,0.0002861698,0.001017501,0.0001526626,0.0002879078,0.001036072],"category_scores_gemma":[0.002823002,0.0001399802,0.0006753455,0.002922965,0.0001754332,0.0003573106,0.0005259261,0.0005047885,0.0002213649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006284862,"about_ca_system_score_gemma":0.0006464333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04125429,"about_ca_topic_score_gemma":0.04232212,"domain_scores_codex":[0.9993513,0.0002570309,0.00005875947,0.00007282459,0.0000976259,0.0001624841],"domain_scores_gemma":[0.9976597,0.0009709239,0.0007031193,0.0001765932,0.0003518308,0.0001378479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001170108,0.00005437261,0.9871823,0.00005026717,0.0003524977,0.000238905,0.0001518655,0.005209628,0.0001594425,0.0004084999,0.00157635,0.004498846],"study_design_scores_gemma":[0.000006390785,0.00003397739,0.9931163,0.00002882406,0.0001251233,0.00007676826,0.0006946036,0.003766418,0.0001939086,0.0001531275,0.001792033,0.00001249618],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922253,0.0006034259,0.0004993412,0.0001595004,0.00001475489,0.00001251608,0.004792777,0.00001734397,0.00167507],"genre_scores_gemma":[0.9891042,0.0005413352,0.0003616915,0.00005205347,0.00001602845,0.00003036147,0.009522523,0.000005520184,0.0003662951],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04125429,"threshold_uncertainty_score":0.08202833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09445865301104067,"score_gpt":0.2935066507737292,"score_spread":0.1990479977626886,"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."}}