{"id":"W4311078907","doi":"10.18280/ijsse.120507","title":"The Main Systemic Engineering Problems of Using Computer and Digital Technologies in Legal Activities in the Context of Ensuring Security","year":2022,"lang":"en","type":"article","venue":"International Journal of Safety and Security Engineering","topic":"Digital Transformation in Law","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Relevance (law); Context (archaeology); Cover (algebra); Information security; Computer security; Information technology; Work (physics); Computer technology; Risk analysis (engineering); Data science; Business; Engineering; Law; Multimedia","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006877044,0.00007151709,0.0002050863,0.0002602198,0.0000287527,0.00007376751,0.0002400899,0.00002553794,0.000001036462],"category_scores_gemma":[0.00005066919,0.0000628293,0.00004496357,0.000113604,0.0000443297,0.0005306548,0.000087705,0.000257845,3.633585e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008949995,"about_ca_system_score_gemma":0.00001009554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002333906,"about_ca_topic_score_gemma":0.000006742952,"domain_scores_codex":[0.9990852,0.000008455707,0.000654173,0.0000641457,0.00009636957,0.00009160264],"domain_scores_gemma":[0.999451,0.0002064712,0.0002563531,0.0000516955,0.00002464044,0.000009782227],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001497622,0.0001193116,0.02155071,0.0004050246,0.0002012755,0.00003547198,0.01707137,0.3734286,0.0002604255,0.583948,0.000003509826,0.002826522],"study_design_scores_gemma":[0.003694727,0.0003139401,0.01044479,0.001502382,0.00001270758,0.002479811,0.02655793,0.9245044,0.0007204749,0.01893012,0.01025027,0.0005884601],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936536,0.001667194,0.003808554,0.0002722304,0.0002578069,0.00009012524,0.0001195092,0.000005830178,0.0001251653],"genre_scores_gemma":[0.9995593,0.0003276863,0.00008087722,0.000004120236,0.00001851618,0.000002422095,0.000001233904,0.000005135942,6.401204e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5650179,"threshold_uncertainty_score":0.2562104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009155900262293758,"score_gpt":0.1829335705598981,"score_spread":0.1737776702976044,"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."}}