{"id":"W4300177511","doi":"","title":"EURO VE DÜNYA EKONOMİSİ: BÖLGESEL ETKİLER","year":2015,"lang":"en","type":"article","venue":"DergiPark (Istanbul University)","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Economics; Psychology","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":[0.001001054,0.0005709504,0.0005969213,0.001662003,0.0008457417,0.004223773,0.0002834753,0.0007710812,0.01567673],"category_scores_gemma":[0.001346038,0.0002032668,0.0002013978,0.002439686,0.001053299,0.003431727,0.001148446,0.001986686,0.004335121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001809444,"about_ca_system_score_gemma":0.001022518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002888177,"about_ca_topic_score_gemma":0.001715311,"domain_scores_codex":[0.9995123,0.000166941,0.00004109343,0.0001048388,0.000110193,0.00006454714],"domain_scores_gemma":[0.999541,0.0001581691,0.0001414959,0.00002313034,0.00008557626,0.00005064214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006547958,0.0003692248,0.02249236,0.001810674,0.00008337007,0.002835675,0.00479849,0.004862748,0.0009897226,0.3922909,0.09531955,0.4734924],"study_design_scores_gemma":[0.00007387377,0.0002034588,0.05463606,0.002054153,0.00005318585,0.002980798,0.0071395,0.002183812,0.000978076,0.04497749,0.8846242,0.00009542252],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2597717,0.2877267,0.005506768,0.05154094,0.006089662,0.0000511452,0.002731952,0.0003271266,0.3862539],"genre_scores_gemma":[0.7960683,0.1298609,0.003143343,0.001477652,0.001783555,0.00005445389,0.001886431,0.0001017878,0.0656236],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01567673,"threshold_uncertainty_score":0.05244392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05506347691883152,"score_gpt":0.1913384360020221,"score_spread":0.1362749590831906,"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."}}