{"id":"W2280084954","doi":"","title":"Формирование культуры кибербезопасности в обществе актуальная задача современности","year":2011,"lang":"ru","type":"article","venue":"Вестник Саратовского государственного социально-экономического университета","topic":"Security, Politics, and Digital Transformation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cyberspace; Computer security; Cyber threats; Identification (biology); State (computer science); National security; Business; Information security; Internet privacy; Political science; Computer science; Law; The Internet","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.006439533,0.004386513,0.004197412,0.002386505,0.004523498,0.002459267,0.006141995,0.003867814,0.02049641],"category_scores_gemma":[0.002226521,0.004861228,0.003259152,0.003769538,0.006001655,0.007481684,0.00133697,0.003961965,0.01910386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002386992,"about_ca_system_score_gemma":0.003699477,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01764546,"about_ca_topic_score_gemma":0.01100168,"domain_scores_codex":[0.9721541,0.002116314,0.006311473,0.004691312,0.005840434,0.008886405],"domain_scores_gemma":[0.9838619,0.001775539,0.002752034,0.004591032,0.002033065,0.004986455],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003685835,0.01171679,0.03168622,0.003228797,0.003395919,0.001615338,0.2875941,0.00008658814,0.001561495,0.4931088,0.1005818,0.06173837],"study_design_scores_gemma":[0.01414055,0.004321334,0.06549427,0.002921877,0.003553681,0.0005672098,0.07778712,0.0009547687,0.01699362,0.1168345,0.680347,0.01608403],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2647853,0.007162701,0.001183087,0.003277196,0.01464151,0.005048831,0.001936504,0.002895232,0.6990696],"genre_scores_gemma":[0.9433566,0.004603207,0.002353076,0.005596384,0.006169252,0.000474802,0.0008362843,0.0009263668,0.03568407],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6785712,"threshold_uncertainty_score":0.9992353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1373759096460341,"score_gpt":0.3145585963320618,"score_spread":0.1771826866860277,"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."}}