{"id":"W2471241143","doi":"","title":"Aggregate Demand and Its Pattern in the Contemporary Russian Economy","year":2016,"lang":"en","type":"article","venue":"The Journal of Internet Banking and Commerce","topic":"Economic and Technological Developments in Russia","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gross domestic product; Aggregate (composite); Russian economy; Aggregate demand; Economics; Consumer demand; Aggregate expenditure; Consumer spending; Economy; Product (mathematics); Real gross domestic product; Macroeconomics; Econometrics; Economic system; Microeconomics; Monetary policy; Recession; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002001901,0.00006193505,0.0001198326,0.00003975363,0.0001045383,0.0000602105,0.0003654801,0.00005233805,0.00004739751],"category_scores_gemma":[0.00005405788,0.0000256104,0.00002047736,0.00003369884,0.0002226625,0.0001453033,0.00006686106,0.0001738539,0.000003431464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002090563,"about_ca_system_score_gemma":0.00002716937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009129901,"about_ca_topic_score_gemma":0.00008396926,"domain_scores_codex":[0.9992311,0.0003173595,0.0002276057,0.00005670462,0.00005757715,0.0001096421],"domain_scores_gemma":[0.9991614,0.0005553938,0.0001847464,0.00005849722,0.00001114448,0.0000288044],"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":[0.0001193234,0.00007964791,0.2464243,0.00002018239,0.0001394691,0.00006955859,0.05215725,4.896195e-7,0.0000356212,0.2746123,0.004905,0.4214368],"study_design_scores_gemma":[0.003171775,0.0004113661,0.3502613,0.002080123,0.00005216729,0.0005423356,0.0194798,0.0001083858,0.0003680905,0.213322,0.4096594,0.0005432719],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9255425,0.001259603,0.0003111321,0.0253941,0.00005836705,0.00005954633,5.016474e-7,0.000006013618,0.04736819],"genre_scores_gemma":[0.9972857,0.001220854,0.00001051719,0.001014763,0.00004176788,0.000001128291,3.973496e-8,0.000002848943,0.0004223438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4208936,"threshold_uncertainty_score":0.1044362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03553028428043123,"score_gpt":0.2712622386928425,"score_spread":0.2357319544124113,"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."}}