{"id":"W4283750484","doi":"10.32468/inf-pol-mont-eng.tr2-2022","title":"Monetary Policy Report - April 2022","year":2022,"lang":"en","type":"report","venue":"","topic":"Economic and Technological Developments in Russia","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economics; Food prices; Inflation (cosmology); Monetary economics; Wage; Quarter (Canadian coin); Indexation; Agricultural economics; Consumer price index (South Africa); Exchange rate; Goods and services; Monetary policy; Agriculture; Food security; Labour economics; Economy; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002570601,0.0002420312,0.0004775837,0.0003194812,0.0009063475,0.00006570899,0.0008794069,0.00062069,0.08622333],"category_scores_gemma":[0.001663803,0.0002265881,0.0002032958,0.000518152,0.0003534496,0.00008678938,0.0006666695,0.0008361539,0.0002324322],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002262075,"about_ca_system_score_gemma":0.008351893,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05052347,"about_ca_topic_score_gemma":0.002452786,"domain_scores_codex":[0.996841,0.00009776525,0.0006822493,0.0006619552,0.001167078,0.0005499878],"domain_scores_gemma":[0.9986268,0.00008915063,0.0004691749,0.0005664921,0.00008856932,0.0001597855],"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":[0.000002006606,0.00005165205,0.006455748,0.00001749519,0.0001177719,0.0007659871,0.0002616513,0.00000146057,2.797038e-7,0.08373793,0.8651274,0.04346056],"study_design_scores_gemma":[0.00003991374,0.00001126918,0.002604618,0.000008088874,0.00001422501,0.00006693888,0.0006916825,4.205472e-7,0.000001175754,0.01304881,0.9831981,0.00031474],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005031348,0.0007229836,0.00002072075,0.004870405,0.002563872,0.0003298656,0.00002935906,0.0005927336,0.9903669],"genre_scores_gemma":[0.007600974,0.01404487,0.001020799,0.0005334371,0.001294529,0.0001414571,0.000255658,0.0000350547,0.9750732],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1180707,"threshold_uncertainty_score":0.9972698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05305803392411382,"score_gpt":0.3453216918610591,"score_spread":0.2922636579369453,"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."}}