{"meta":{"query_hash":"c75d021793b9","filters":{"venue":"˜The œEconomic Research Guardian"},"cohort_total":1,"direct_labels_cover":0,"predictions_cover":1,"exported":1,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/c75d021793b9","api":"https://metacan.xera.ac/api/v1/cohort?venue=%C2%98The+%C2%9CEconomic+Research+Guardian"},"results":[{"id":"W2224268482","doi":"","title":"A Semi-Structural General Equilibrium Analysis of Moldova's Monetary Policy Transmission Mechanism","year":2015,"lang":"en","type":"article","venue":"˜The œEconomic Research Guardian","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Inflation (cosmology); Econometrics; Exchange rate; Monetary policy; General equilibrium theory; Quarter (Canadian coin); Macroeconomics; Dynamic stochastic general equilibrium; Macro; Bayesian vector autoregression; Econometric model; Monetary economics; Bayesian probability; Statistics; Computer science; Mathematics","score_opus":0.14597457263716943,"score_gpt":0.33729299526013223,"score_spread":0.1913184226229628,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2224268482","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.58542657,0.0023996062,0.36186755,0.0028985934,0.00022602025,0.00017329525,0.0015876546,0.0003299017,0.04509078],"genre_scores_gemma":[0.979384,0.0006945209,0.010269954,0.00009461964,0.000050374947,0.00010856102,0.00026556937,0.000046673264,0.009085721],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997813,0.00009963089,0.000008688299,0.00003925076,0.00002115232,0.000050080936],"domain_scores_gemma":[0.9994758,0.00031268498,0.00010216876,0.000026362211,0.000052572308,0.000030427214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068012316,0.00057778764,0.0010791719,0.0006448258,0.00053307845,0.0013766238,0.0009278865,0.0010347358,0.0043605417],"category_scores_gemma":[0.0023030601,0.0004943313,0.0010231151,0.0004680915,0.00068789505,0.00090349163,0.00076872937,0.00080517965,0.0003156213],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058319285,0.00003779479,0.0026051349,0.00006520516,0.000071517956,0.00024577748,0.00011369444,0.8810849,0.0008142747,0.11052059,0.0009460731,0.003436688],"study_design_scores_gemma":[0.000035865254,0.000030199843,0.001432155,0.000019904457,0.000027313014,0.000039732397,0.000055031916,0.96574837,0.00012286281,0.0314983,0.0009747308,0.000015530313],"about_ca_topic_score_codex":0.024731405,"about_ca_topic_score_gemma":0.012363173,"teacher_disagreement_score":0.024731405,"about_ca_system_score_codex":0.0010964705,"about_ca_system_score_gemma":0.001496942,"threshold_uncertainty_score":0.049174905},"labels":[],"label_agreement":null}]}