{"id":"W1822131644","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":"SSRN Electronic Journal","topic":"Legal Education and Practice Innovations","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Electronic records; Relevance (law); Confusion; Enforcement; Law; Rules of evidence; Empirical evidence; Law enforcement; Political science; Business; Psychology; Computer science; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.01101678,0.0001289497,0.0001848203,0.00007791798,0.0006571928,0.000176588,0.0007335178,0.0000806226,0.0001693507],"category_scores_gemma":[0.001865816,0.0000759054,0.00006298708,0.0007595483,0.0004951082,0.00110086,0.0000410724,0.005823618,0.000006696327],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0024575,"about_ca_system_score_gemma":0.0686221,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8685273,"about_ca_topic_score_gemma":0.998146,"domain_scores_codex":[0.9963455,0.000577395,0.0004211203,0.0001824702,0.0005553776,0.001918088],"domain_scores_gemma":[0.9973733,0.001699236,0.0003678211,0.0002679326,0.0002223114,0.0000694371],"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":[0.0001119095,0.00001708205,0.005222687,0.000002564805,0.00004938645,6.378543e-7,0.003712234,0.000005984772,0.00009836337,0.9831141,0.0001912399,0.007473758],"study_design_scores_gemma":[0.001482116,0.0003287839,0.0243824,0.0001625356,0.0001641923,0.0003089126,0.0365113,0.0001450338,0.0001888967,0.6491467,0.2866587,0.0005204365],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.843936,0.004385193,0.00003940253,0.1473989,0.000541606,0.00040078,9.094265e-7,0.00001156086,0.003285582],"genre_scores_gemma":[0.9806556,0.01686933,0.00001052228,0.00100698,0.0002582095,0.00001669937,4.51345e-7,0.00001180415,0.001170396],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3339674,"threshold_uncertainty_score":0.99647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03647071615937462,"score_gpt":0.3361716947925367,"score_spread":0.299700978633162,"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."}}