{"id":"W6947950861","doi":"10.4224/21277152","title":"Audit of acquisition cards in the interim operating environment: June 2015, final report","year":2015,"lang":"en","type":"report","venue":"","topic":"Literature and Culture Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Interim; Audit; Fiscal year; Audit plan; Auditor's report; Quality assurance; Internal 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":[0.02377336,0.0004022505,0.0004079551,0.004786489,0.003375299,0.005275178,0.001618252,0.001210206,0.00987019],"category_scores_gemma":[0.07895821,0.0006905287,0.0002808888,0.004810529,0.001316242,0.002020519,0.002194683,0.002984813,0.005867794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00784814,"about_ca_system_score_gemma":0.04548575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1732608,"about_ca_topic_score_gemma":0.1678542,"domain_scores_codex":[0.9385353,0.004136622,0.004530369,0.001201181,0.04827371,0.003322857],"domain_scores_gemma":[0.8476551,0.008435985,0.01054811,0.008291419,0.1210883,0.003981177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0004425148,0.0002803061,0.0431938,0.0004754256,0.00002589385,0.0005460843,0.003213594,0.0008432251,0.002156023,0.007785959,0.8104236,0.1306136],"study_design_scores_gemma":[0.00003715975,0.0002201408,0.1537693,0.0007368258,0.00002714558,0.0002890111,0.004116882,0.0009394174,0.004438302,0.0008978375,0.8343811,0.0001469076],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.285871,0.004683557,0.02083519,0.03658343,0.01132128,0.01253193,0.09220503,0.008354445,0.5276141],"genre_scores_gemma":[0.4374571,0.004167939,0.02929094,0.008010425,0.0009897399,0.00333918,0.04587743,0.00133353,0.4695337],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1732608,"threshold_uncertainty_score":0.3445047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06838779349970595,"score_gpt":0.2969895363722555,"score_spread":0.2286017428725496,"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."}}