{"id":"W7161967088","doi":"10.82308/9210","title":"Policies and practices for e-mail management at the Canadian government","year":2014,"lang":"en","type":"dissertation","venue":"","topic":"Personal Information Management and User Behavior","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Information management; Data collection; Data management; Process (computing); Records management; Order (exchange); Content analysis","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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001972609,0.0001901693,0.0001909506,0.0001793863,0.0008280209,0.001151646,0.0006140647,0.0001016866,0.0009413239],"category_scores_gemma":[0.0003603267,0.0001095405,0.00009731531,0.0001702748,0.00003972711,0.0003391641,0.00009125355,0.00008529297,0.000339038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002364486,"about_ca_system_score_gemma":0.00005322407,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02940805,"about_ca_topic_score_gemma":0.8937102,"domain_scores_codex":[0.9973196,0.00004249408,0.000445594,0.0003085411,0.001619724,0.000264079],"domain_scores_gemma":[0.9980516,0.000465003,0.0007814627,0.0004147771,0.000151301,0.0001358372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008461666,0.00001323539,0.002167353,0.00007514651,0.00008961741,0.000001420352,0.001736392,0.000008217341,0.000004266385,0.05496532,0.8283911,0.1124633],"study_design_scores_gemma":[0.0001625663,0.00002214984,0.04379012,0.0000107839,0.00009856695,5.908599e-7,0.01166008,0.0002161351,0.00002679202,0.0008268529,0.9430273,0.000158066],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1145364,0.0001479684,0.00007652665,0.009767578,0.0009102635,0.001499602,0.0001284831,0.00002752935,0.8729057],"genre_scores_gemma":[0.1121783,0.00007309999,0.0003136368,0.002421806,0.00008981374,0.0002251829,0.0002310924,0.0000139498,0.8844532],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8643022,"threshold_uncertainty_score":0.9999719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2092832522983479,"score_gpt":0.4629058893814358,"score_spread":0.2536226370830879,"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."}}