{"id":"W6929228995","doi":"10.4224/21274837","title":"Audit of acquisition Card Transactions: 2008-09: internal audit, NRC","year":2010,"lang":"en","type":"report","venue":"","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Privy Council Office","funders":"","keywords":"Audit; Internal audit; Joint audit; Chief audit executive; Information technology audit; Audit plan; Financial Audit","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":[0.00756959,0.0005104532,0.0005216927,0.004894626,0.002327961,0.003268487,0.001325321,0.0008593766,0.01238786],"category_scores_gemma":[0.03027117,0.0005715992,0.0002686385,0.00641716,0.0006740351,0.001029892,0.001111874,0.002105906,0.01483601],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01697565,"about_ca_system_score_gemma":0.08879708,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7251958,"about_ca_topic_score_gemma":0.7607471,"domain_scores_codex":[0.9758325,0.0009526024,0.001314268,0.0007896252,0.01941813,0.00169289],"domain_scores_gemma":[0.8787053,0.002451201,0.005165084,0.003009367,0.1084825,0.00218658],"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":[0.0001115844,0.00008835281,0.0184389,0.000184501,0.000009866489,0.00007366569,0.0003855487,0.0002155332,0.0009313881,0.001369396,0.9427506,0.03544062],"study_design_scores_gemma":[0.00003653271,0.00006249435,0.2497528,0.0002685738,0.00001986548,0.00009045468,0.000842227,0.001057054,0.002937274,0.0002407779,0.7446123,0.0000797289],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.09477315,0.00162488,0.004222922,0.01735625,0.002306761,0.007425536,0.469653,0.004215694,0.3984219],"genre_scores_gemma":[0.1841384,0.002706134,0.01671861,0.004673623,0.0005486811,0.002648708,0.2607308,0.001161875,0.5266731],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9830244,"threshold_uncertainty_score":0.5528452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02454000318205589,"score_gpt":0.3186585157960351,"score_spread":0.2941185126139792,"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."}}