{"id":"W2777841177","doi":"10.1016/j.ruje.2017.12.003","title":"Sources of long run economic growth in Russia before and after the global financial crisis","year":2017,"lang":"en","type":"article","venue":"Russian Journal of Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Total factor productivity; Financial crisis; Economics; Productivity; Growth accounting; Context (archaeology); Capital (architecture); Capital deepening; Capital intensity; Human capital; Economy; Labour economics; Financial capital; Capital formation; Macroeconomics; Market 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":[],"consensus_categories":[],"category_scores_codex":[0.00131833,0.000227599,0.0008079523,0.0001928267,0.0001914952,0.0002332834,0.0007427618,0.0001529922,0.0001006448],"category_scores_gemma":[0.0001453069,0.0002111069,0.0002534343,0.00003707628,0.000294903,0.0009676191,0.0001662967,0.0002855832,0.00003489236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002475022,"about_ca_system_score_gemma":0.0001359836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003854896,"about_ca_topic_score_gemma":0.001642251,"domain_scores_codex":[0.997934,0.00002639001,0.001343493,0.0003427503,0.00001632337,0.0003370673],"domain_scores_gemma":[0.9970008,0.0000405503,0.002263649,0.0005266365,0.00001774425,0.0001506801],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001520506,0.00003233424,0.8487933,0.0000262757,0.00005478396,0.00001180373,0.0003209651,0.00007183505,7.976903e-8,0.1494976,0.00006179036,0.0009772126],"study_design_scores_gemma":[0.0007858871,0.0001080269,0.8085327,0.0000257304,0.00001395305,0.0001071889,0.0000582681,0.0002224776,0.00003838961,0.1892127,0.0007146439,0.0001800985],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869868,0.001464247,0.00006448331,0.006479222,0.0008735216,0.0001246524,0.0001886654,0.000002933845,0.003815502],"genre_scores_gemma":[0.998282,0.0007002605,0.0002984263,0.0001541569,0.0005125702,0.000004743315,0.000001022591,0.00001986139,0.00002701145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04026064,"threshold_uncertainty_score":0.8608691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01320134730989061,"score_gpt":0.2087785479326202,"score_spread":0.1955772006227296,"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."}}