{"id":"W2979060709","doi":"","title":"Government support of small and medium sized entrepreneurship in Russia","year":2019,"lang":"en","type":"article","venue":"Published Papers","topic":"Regional Economic Development and Innovation","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Entrepreneurship; Shadow (psychology); Government (linguistics); Business; Legislation; Value (mathematics); Resizing; Economic policy; Economics; European union; Political science; Finance","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003747011,0.0000671286,0.0001664959,0.0007179227,0.0003143426,0.0010839,0.0002291068,0.0002075052,0.003779442],"category_scores_gemma":[0.002288627,0.00007486678,0.0001613321,0.0008024406,0.0003128782,0.0003092849,0.0008499099,0.000390572,0.0003733335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007361026,"about_ca_system_score_gemma":0.001489896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01388609,"about_ca_topic_score_gemma":0.01649668,"domain_scores_codex":[0.9995888,0.00008609599,0.00002437814,0.00004094619,0.00009158921,0.0001681455],"domain_scores_gemma":[0.9977176,0.00049033,0.00108833,0.00007884936,0.0001718016,0.0004532554],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001508994,0.00008179585,0.9480174,0.0002210979,0.00008353275,0.001207267,0.002476525,0.0009943686,0.0007468141,0.01005644,0.005092186,0.03087157],"study_design_scores_gemma":[0.000006674623,0.00003473735,0.981483,0.0000869982,0.00003033373,0.0002067189,0.002952099,0.0006052724,0.0002019434,0.0006396322,0.01374762,0.000004962511],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.973969,0.001048746,0.0001603313,0.00147253,0.00003616758,0.000008506055,0.0005949759,0.00002044687,0.02268919],"genre_scores_gemma":[0.9983246,0.0003381413,0.000024221,0.00003526135,0.00001173216,0.000002164748,0.0001626122,0.000001891585,0.001099326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01388609,"threshold_uncertainty_score":0.02761054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01018577806176211,"score_gpt":0.1774073771258917,"score_spread":0.1672215990641296,"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."}}