{"id":"W4400847849","doi":"10.34925/eip.2020.119.6.126","title":"Analysis of foreign experience in stimulating innovation activities of small and medium-sized industrial enterprises as an element of strategic development of the state","year":2020,"lang":"ru","type":"article","venue":"Экономика и предпринимательство","topic":"Business and Economic Development","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Element (criminal law); Business; State (computer science); Industrial organization; Process management; Computer science; Political science","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":[0.00119251,0.0001206618,0.0001695939,0.001277748,0.0006701643,0.00221294,0.0001952088,0.0003155079,0.004302598],"category_scores_gemma":[0.004652861,0.00006068814,0.000273393,0.001225308,0.0009178355,0.001010297,0.001515397,0.000352757,0.0002872684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001019104,"about_ca_system_score_gemma":0.0009459475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002937977,"about_ca_topic_score_gemma":0.003786071,"domain_scores_codex":[0.9992819,0.000295276,0.00003947574,0.00006027702,0.0001370602,0.0001860066],"domain_scores_gemma":[0.9956278,0.002404633,0.0005744252,0.0001237498,0.0003064123,0.0009629127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000619802,0.0002882438,0.8703816,0.0001598623,0.00009145289,0.001308586,0.05669922,0.001743389,0.001992685,0.01467583,0.0005651333,0.05147417],"study_design_scores_gemma":[0.00001175382,0.0003031042,0.9010601,0.00009418689,0.00005745133,0.0003997291,0.08735989,0.001166109,0.0008310486,0.002201818,0.006486868,0.00002802482],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987662,0.0001287551,0.000162439,0.00006664066,0.000005907277,0.000006012957,0.00002550521,0.000002234835,0.01194056],"genre_scores_gemma":[0.9989331,0.00006004957,0.00004255554,0.000005035159,0.000002978213,0.000003433903,0.00001526162,8.663109e-7,0.0009366265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004302598,"threshold_uncertainty_score":0.01439363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1022267207181742,"score_gpt":0.2682780240948927,"score_spread":0.1660513033767184,"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."}}