{"id":"W2076219818","doi":"10.1108/09565690210454932","title":"“Back to the future”: electronic records management in the twenty‐first century","year":2002,"lang":"en","type":"article","venue":"Records Management Journal","topic":"E-Government and Public Services","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Canada; Public Works and Government Services Canada","funders":"","keywords":"Accountability; Transparency (behavior); Government (linguistics); Public relations; Business; Service delivery framework; Service (business); Public sector; Dissemination; Private sector; Public service; Public administration; Marketing; Political science; Engineering; Telecommunications; Law","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009133595,0.00029387,0.0002768808,0.003050738,0.0146422,0.02336439,0.001975586,0.005422025,0.006148932],"category_scores_gemma":[0.01471191,0.0002760289,0.0002722234,0.007226439,0.02101421,0.01477179,0.003630753,0.004697877,0.001055685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06459493,"about_ca_system_score_gemma":0.102575,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7923358,"about_ca_topic_score_gemma":0.8083574,"domain_scores_codex":[0.9902053,0.002337547,0.0004537824,0.0004796105,0.004734615,0.001789114],"domain_scores_gemma":[0.9854631,0.002481754,0.0009519184,0.000619481,0.007576292,0.002907444],"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":[0.00004294335,0.00005123008,0.003680249,0.0003912411,0.00001161492,0.0004460071,0.03217911,0.0002348703,0.000353442,0.5133783,0.256777,0.192454],"study_design_scores_gemma":[0.000003010313,0.00001124378,0.002611698,0.0004584313,0.00000458646,0.0001576303,0.01157677,0.00009619327,0.0001300961,0.01239337,0.9725232,0.00003368442],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01120664,0.09237809,0.002584267,0.7440833,0.003740205,0.00003613502,0.0002022061,0.0001956304,0.1455735],"genre_scores_gemma":[0.4504608,0.2209504,0.009709613,0.1572022,0.005536678,0.00007394275,0.0005293741,0.0001782668,0.1553588],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7923358,"threshold_uncertainty_score":0.4686712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01387618623681513,"score_gpt":0.2555282671832531,"score_spread":0.241652080946438,"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."}}