{"id":"W2901727062","doi":"10.6000/1929-7092.2018.07.37","title":"The Influence of the Credit Policy of Commercial Banks on the Modernization of the Russian Economy Structure","year":2018,"lang":"en","type":"article","venue":"Journal of Reviews on Global Economics","topic":"Economic and Technological Developments in Russia","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Modernization theory; Sustainable development; Investment (military); Business; Economic system; National economy; Commercial bank; Process (computing); Economics; Financial system; Economy; Market economy; Finance; Economic growth; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008175062,0.00009003795,0.0001563594,0.0003657177,0.0002852589,0.001398309,0.0001564608,0.0002761587,0.001353848],"category_scores_gemma":[0.002704609,0.00007354272,0.0001808899,0.0002809589,0.000954657,0.0006321251,0.0005525392,0.0003551023,0.00009491173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001384514,"about_ca_system_score_gemma":0.001110039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002361879,"about_ca_topic_score_gemma":0.00128406,"domain_scores_codex":[0.9995809,0.0002362532,0.00001384499,0.00004903131,0.00005355797,0.00006650469],"domain_scores_gemma":[0.9989089,0.0004129606,0.0003143321,0.00007289323,0.0001895783,0.0001013763],"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":[0.0002894139,0.00009466374,0.06392021,0.0001674261,0.0001209141,0.000535636,0.001373869,0.0643564,0.007268757,0.8179927,0.001793772,0.04208633],"study_design_scores_gemma":[0.0001163179,0.0005308975,0.4529788,0.0002516141,0.0002646467,0.0005688246,0.003964274,0.1088506,0.007330142,0.3919173,0.03316163,0.00006509142],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9356377,0.0007295426,0.00671671,0.002016243,0.00002518032,0.00002049873,0.00008258909,0.00001517392,0.05475632],"genre_scores_gemma":[0.9992055,0.0001927753,0.0001691647,0.00001973827,0.000005422334,0.000002374687,0.000004672525,0.000001105112,0.0003993282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002361879,"threshold_uncertainty_score":0.01004541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02121305101496356,"score_gpt":0.2957373445514451,"score_spread":0.2745242935364815,"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."}}