{"id":"W4238853658","doi":"10.1108/oxan-db230630","title":"Hungarian economy will face post-election challenges","year":2018,"lang":"en","type":"other","venue":"Emerald expert briefings","topic":"Hungarian Social, Economic and Educational Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Position (finance); Economics; Quarter (Canadian coin); Government (linguistics); Fiscal policy; Face (sociological concept); Monetary policy; Economic policy; Economy; Monetary economics; Finance","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":[0.0015396,0.0003072265,0.0003956989,0.000447256,0.003001429,0.0063298,0.0005204136,0.004574188,0.07050456],"category_scores_gemma":[0.00325996,0.0001428117,0.0003000214,0.0006619261,0.001250645,0.002671139,0.002839438,0.00363767,0.02690283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002399601,"about_ca_system_score_gemma":0.004751561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004006749,"about_ca_topic_score_gemma":0.007051685,"domain_scores_codex":[0.9990583,0.0001938902,0.00004304906,0.00006989799,0.0001996837,0.0004351686],"domain_scores_gemma":[0.99898,0.0002373506,0.00008588934,0.00009215029,0.000265294,0.0003393544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004961307,0.00005147099,0.001274654,0.0001521734,0.000007740772,0.0004198619,0.0004046025,0.00007039538,0.0002359018,0.03143822,0.9116499,0.05424549],"study_design_scores_gemma":[0.000005185769,0.000009244958,0.004160646,0.00009462884,0.00000266714,0.00008554321,0.0007588877,0.00003698555,0.0001180729,0.002820555,0.9919006,0.000007042832],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02343863,0.02636841,0.0006275464,0.3490103,0.03429211,0.00009534021,0.001562856,0.0003076578,0.5642971],"genre_scores_gemma":[0.1281309,0.01626997,0.000868515,0.06696997,0.007662021,0.0001329161,0.001272767,0.0001750099,0.7785179],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07050456,"threshold_uncertainty_score":0.2358612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03077662622897702,"score_gpt":0.3035430727543196,"score_spread":0.2727664465253426,"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."}}