{"id":"W4383001514","doi":"10.31410/itema.2022.161","title":"Global Stagflation Shocks: Macroeconomic Challenges and Repercussions","year":2022,"lang":"en","type":"article","venue":"International Scientific Conference ITEMA. Recent Advances in Information Technology, Tourism, Economics, Management and Agriculture","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stagflation; Recession; Economics; Inflation (cosmology); Quarter (Canadian coin); Keynesian economics; Economic slowdown; Aggregate demand; Geopolitics; Monetary economics; International economics; Politics; Monetary policy; Political science; 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":[0.0005936708,0.0003392011,0.0003076853,0.001304269,0.0004826861,0.002207482,0.0001887024,0.0006941371,0.00212595],"category_scores_gemma":[0.001337791,0.000108954,0.0002442747,0.002320219,0.0008044642,0.001668027,0.001390617,0.001006735,0.0001762534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001011016,"about_ca_system_score_gemma":0.0006529253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005028588,"about_ca_topic_score_gemma":0.005497903,"domain_scores_codex":[0.9998174,0.00004216011,0.00001018922,0.00002621116,0.00004297307,0.00006110984],"domain_scores_gemma":[0.9994862,0.0001126067,0.0002105294,0.00002140526,0.00009914923,0.00007012973],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007980062,0.000154724,0.5747092,0.0009854154,0.0003247985,0.006095873,0.005694607,0.03037823,0.004504134,0.1847846,0.01931114,0.1722593],"study_design_scores_gemma":[0.00001584728,0.0002458876,0.7916873,0.0005960347,0.0001183146,0.001410941,0.02232333,0.02149194,0.00143859,0.1015708,0.05897596,0.0001250035],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9408123,0.01167209,0.002865634,0.01096834,0.0003033303,0.00003213609,0.001300463,0.00007840056,0.03196729],"genre_scores_gemma":[0.9932358,0.00501966,0.000285008,0.0002709027,0.0001403558,0.000006696394,0.0003201724,0.000009665576,0.0007118326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005028588,"threshold_uncertainty_score":0.00999862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01934315093619249,"score_gpt":0.2422415780664581,"score_spread":0.2228984271302656,"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."}}