{"id":"W3124607775","doi":"","title":"THE RUSSIAN ECONOMY IN EXPECTATION OF GROWTH","year":2016,"lang":"en","type":"article","venue":"Russian Economic Developments","topic":"Economic and Technological Developments in Russia","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Adaptability; Index (typography); Russian economy; Quarter (Canadian coin); Principal (computer security); Economics; Economy; National economy; Economic system; Computer science; Geography; Management","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":[],"consensus_categories":[],"category_scores_codex":[0.0008269708,0.0001556602,0.0002425659,0.0001661884,0.0003591901,0.00005349635,0.0006432089,0.0001554286,0.0003962121],"category_scores_gemma":[0.0001061998,0.0001012396,0.00005552343,0.0001206567,0.0004630901,0.0003807334,0.0001031538,0.00008332393,0.000471381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008676268,"about_ca_system_score_gemma":0.0005456657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001845327,"about_ca_topic_score_gemma":0.00103552,"domain_scores_codex":[0.9983136,0.00008653505,0.0006953905,0.0003350527,0.0000778411,0.0004915546],"domain_scores_gemma":[0.9991307,0.0002556764,0.0002958423,0.0002054454,0.000008747304,0.0001035789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00001333852,0.00001729043,0.1382231,0.000002592989,0.00002630258,0.000001334479,0.0009192878,2.712291e-7,0.000004877255,0.8307171,0.0002268128,0.02984769],"study_design_scores_gemma":[0.001194499,0.00001973763,0.6277898,0.00009004568,0.000003930388,0.000001231031,0.001303488,0.000004664474,0.001043436,0.2237156,0.1444186,0.0004150199],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3275173,0.00005361429,0.0001858372,0.0125085,0.0006760969,0.0004142968,0.000006769038,0.00009160416,0.658546],"genre_scores_gemma":[0.9938089,0.0004583731,0.001370125,0.00008306004,0.00004435626,0.00007692414,0.000001830312,0.000013741,0.004142706],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6662916,"threshold_uncertainty_score":0.6058807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01099945986965199,"score_gpt":0.2605704533303387,"score_spread":0.2495709934606867,"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."}}