{"id":"W4415590256","doi":"10.24144/2307-3322.2025.90.4.46","title":"The concept and classification of electronic evidence in criminal proceedings in different countries of the world","year":2025,"lang":"uk","type":"article","venue":"Uzhhorod National University Herald Series Law","topic":"Law, AI, and Intellectual Property","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Confidentiality; Context (archaeology); Digital evidence; Key (lock); Authentication (law); The Internet; Digital forensics; Electronic surveillance; Electronic data","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":[0.01601806,0.0006010216,0.0007945304,0.03748816,0.005743868,0.02000699,0.002176964,0.00390658,0.001982635],"category_scores_gemma":[0.06020012,0.0005911447,0.0009244626,0.03749991,0.03044642,0.01413931,0.007459369,0.002704059,0.0004292664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007804564,"about_ca_system_score_gemma":0.01119875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006138653,"about_ca_topic_score_gemma":0.005096111,"domain_scores_codex":[0.9537827,0.02038963,0.008162796,0.003144311,0.01253985,0.001980618],"domain_scores_gemma":[0.9137276,0.04172248,0.02346501,0.006496641,0.01271783,0.001870435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005694816,0.00006861847,0.04033164,0.001166125,0.0000461069,0.001135047,0.02713972,0.0007184704,0.000446192,0.7875872,0.003582075,0.1377219],"study_design_scores_gemma":[0.00003179774,0.0002784836,0.1651887,0.01645141,0.0002178337,0.008540999,0.1035421,0.002451824,0.002148802,0.2333684,0.4674564,0.0003233237],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3161262,0.09705033,0.06558476,0.02164603,0.002394616,0.001768632,0.00105793,0.00013696,0.4942345],"genre_scores_gemma":[0.9180861,0.0281551,0.04051468,0.002496064,0.0006203835,0.0007706645,0.0006309942,0.00006154668,0.00866436],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03748816,"threshold_uncertainty_score":0.08471262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02484825454722903,"score_gpt":0.2376072321345073,"score_spread":0.2127589775872783,"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."}}