{"id":"W3006652080","doi":"10.6000/1929-7092.2020.09.11","title":"Assessment of Regional Economic Security Level in Innovative Development","year":2020,"lang":"en","type":"article","venue":"Journal of Reviews on Global Economics","topic":"Economic and Technological Developments in Russia","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Natural resource economics; Economics","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":[0.001593617,0.000219364,0.0002182171,0.003750089,0.0002945437,0.001676903,0.0002920523,0.0003372944,0.002563532],"category_scores_gemma":[0.004288798,0.000132117,0.0005057221,0.002505997,0.0007177428,0.0009388613,0.001691524,0.0002599105,0.000358888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001178712,"about_ca_system_score_gemma":0.0006834731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002371269,"about_ca_topic_score_gemma":0.002230839,"domain_scores_codex":[0.9991829,0.0002163294,0.00007069337,0.0001210984,0.0002385242,0.0001703092],"domain_scores_gemma":[0.9970888,0.0007751043,0.0009168523,0.0001836198,0.0007468038,0.0002886966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004392171,0.00007064999,0.8875325,0.0002134679,0.0002352887,0.0005288214,0.003546664,0.02140855,0.00406976,0.02042443,0.001005442,0.06052517],"study_design_scores_gemma":[0.000008548509,0.0001765347,0.9745483,0.0000620242,0.0000707797,0.0002248718,0.004935798,0.008406918,0.00185292,0.003548213,0.006137735,0.00002731706],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.976535,0.0002992323,0.003334326,0.0001480842,0.000008095622,0.0000535538,0.0005281992,0.00002995073,0.01906354],"genre_scores_gemma":[0.9982491,0.00007060501,0.0008764833,0.000004586718,0.000003386491,0.00001733195,0.0001700303,0.000003241536,0.0006053271],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003750089,"threshold_uncertainty_score":0.008575857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1354043191417224,"score_gpt":0.3795414943550691,"score_spread":0.2441371752133467,"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."}}