{"id":"W2907010613","doi":"10.25045/ncinfosec.2018.04","title":"İnformasiya təhlükəsizliyi, hüquqi əsasları, müqayisəli yanaşma","year":2018,"lang":"az","type":"article","venue":"","topic":"Security, Politics, and Digital Transformation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Government (linguistics); Information security; National security; Order (exchange); Political science; International law; Public administration; Business; Law; Computer security; Computer science; Geography","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008555385,0.0003884297,0.0003919881,0.0002074675,0.001266481,0.000783385,0.0006297471,0.0004394935,0.003833867],"category_scores_gemma":[0.0002329732,0.0003774733,0.0002928477,0.0004785164,0.001787056,0.002592433,0.00008664269,0.0002753081,0.00909145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002604806,"about_ca_system_score_gemma":0.0004752605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005482056,"about_ca_topic_score_gemma":0.00720643,"domain_scores_codex":[0.9962947,0.0001173332,0.0007996709,0.0004399918,0.001030391,0.001317854],"domain_scores_gemma":[0.9980484,0.0001678871,0.0001865938,0.0004446771,0.0005320517,0.0006203736],"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":[0.00005450182,0.0003377811,0.002330023,0.0001336916,0.00009661736,0.000005635453,0.08326844,0.000001455476,0.000017377,0.8539014,0.02752462,0.03232846],"study_design_scores_gemma":[0.001013569,0.0005238645,0.00287666,0.0000956419,0.00008710135,0.000007737029,0.03174253,0.0007175155,0.001884669,0.03918928,0.9209765,0.0008849183],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04906858,0.0002048877,0.001360506,0.003066122,0.00304486,0.0004932112,0.00007076938,0.0003226035,0.9423684],"genre_scores_gemma":[0.9667879,0.000498836,0.0003151849,0.003390184,0.003443506,0.00001063243,0.00004255251,0.00003188485,0.02547935],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9177193,"threshold_uncertainty_score":0.9998677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04848357680415988,"score_gpt":0.3521571231346097,"score_spread":0.3036735463304499,"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."}}