{"id":"W3121802200","doi":"","title":"Electronic Records and the Law of Evidence in Canada: The Uniform Electronic Evidence Act Twelve Years Later","year":2010,"lang":"en","type":"article","venue":"Archivaria (Association of Canadian Archivists)","topic":"Digital and Cyber Forensics","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Electronic records; Legislation; Enforcement; Confusion; Political science; Limiting; Law; Humanities; Engineering; Psychology; Computer science; Art; Database","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":[0.0268068,0.0003965901,0.0007523578,0.006928467,0.01565251,0.02588311,0.003613679,0.008744244,0.006648374],"category_scores_gemma":[0.1608928,0.0009518684,0.0008464088,0.01505819,0.01622774,0.01046903,0.006826899,0.008701639,0.0007199651],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.2689931,"about_ca_system_score_gemma":0.5012308,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.992657,"about_ca_topic_score_gemma":0.9925981,"domain_scores_codex":[0.9440942,0.007204279,0.003954114,0.003535575,0.03228635,0.008925428],"domain_scores_gemma":[0.8339452,0.06131175,0.007897794,0.005846927,0.08261327,0.008385163],"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":[0.0001256058,0.00008928429,0.01749775,0.0004131674,0.00004926676,0.0006170671,0.01911852,0.001496438,0.0002285562,0.7903154,0.07017649,0.09987251],"study_design_scores_gemma":[0.00007331451,0.00007364836,0.07357568,0.002768966,0.0001454449,0.0002977007,0.02133778,0.003062728,0.0008950436,0.05011521,0.847332,0.0003224207],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.100714,0.05276108,0.007687428,0.5130855,0.004329237,0.0004482942,0.003311397,0.0001639939,0.3174991],"genre_scores_gemma":[0.7233055,0.03216995,0.008817006,0.05209091,0.001129705,0.0002289846,0.00139148,0.0001495124,0.1807169],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2689931,"threshold_uncertainty_score":0.8478643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01213576887300153,"score_gpt":0.2040673315507863,"score_spread":0.1919315626777847,"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."}}