{"id":"W2599136908","doi":"","title":"Особые экономические зоны как фактор обеспечения безопасности социально-экономического развития территории","year":2016,"lang":"ru","type":"article","venue":"Administrative Consulting","topic":"Arctic and Russian Policy Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Special economic zone; General partnership; Business; Regional science; Environmental planning; Economic growth; Political science; Geography; Economics","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":[0.001592201,0.0003267945,0.0002622643,0.001776178,0.001567257,0.003398989,0.0005521899,0.0009639689,0.01692572],"category_scores_gemma":[0.003520164,0.0004017372,0.0003855084,0.001515871,0.003181579,0.001326142,0.00131692,0.001735549,0.003332753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001573917,"about_ca_system_score_gemma":0.003560644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006114693,"about_ca_topic_score_gemma":0.008559803,"domain_scores_codex":[0.9982344,0.0003308503,0.00007675451,0.0002395717,0.0009368019,0.0001816659],"domain_scores_gemma":[0.9985384,0.0005485624,0.0001973532,0.0002139366,0.0003970884,0.0001047224],"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":[0.00006342294,0.00005657002,0.001452347,0.0003866951,0.00002598638,0.0006983004,0.00311737,0.001089735,0.01134117,0.7667266,0.008057665,0.2069841],"study_design_scores_gemma":[0.00002373257,0.00005497802,0.004107706,0.0003473136,0.00004573264,0.001147525,0.001958077,0.001021464,0.01101309,0.2054031,0.7747986,0.00007859032],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06220822,0.04602071,0.1323973,0.01223401,0.002075549,0.0001986323,0.0004739626,0.000298315,0.7440933],"genre_scores_gemma":[0.7737237,0.02491241,0.09113404,0.0006077275,0.0007541201,0.0003401751,0.0002165884,0.0002539006,0.1080574],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01692572,"threshold_uncertainty_score":0.05662221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09256097372556542,"score_gpt":0.3873495276618446,"score_spread":0.2947885539362791,"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."}}