{"id":"W6891719329","doi":"10.4224/21277154","title":"Audit of the Industrial Research Assistance Program in the interim operating environment: June 2015","year":2015,"lang":"en","type":"report","venue":"","topic":"Research, Science, and Academia","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"Government of Canada","keywords":"Interim; Audit; Fiscal year; Audit plan; Information technology audit; Joint audit; Internal audit; Financial Audit","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.03763123,0.0004361826,0.0005489591,0.004545551,0.002998504,0.005236516,0.001751724,0.001380714,0.006647426],"category_scores_gemma":[0.09058391,0.0006502917,0.0004055341,0.003850497,0.0009710736,0.001539,0.002011656,0.003357318,0.005030988],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008521885,"about_ca_system_score_gemma":0.04970653,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.101613,"about_ca_topic_score_gemma":0.1157638,"domain_scores_codex":[0.9241632,0.005408069,0.005294864,0.001397664,0.05979818,0.003938022],"domain_scores_gemma":[0.795318,0.01270755,0.01410461,0.009462444,0.1629142,0.005493173],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0005393313,0.0003471174,0.03731824,0.0005934495,0.00004299,0.0004291056,0.001665129,0.001368985,0.002654236,0.006727987,0.7979796,0.1503338],"study_design_scores_gemma":[0.00005350389,0.0003208513,0.1103491,0.0006111513,0.00003421849,0.000186789,0.001705672,0.001400081,0.004229373,0.0008712009,0.8800883,0.0001496621],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2082932,0.006430408,0.03310165,0.0669281,0.01591022,0.01677546,0.07181579,0.01581033,0.5649348],"genre_scores_gemma":[0.4329322,0.006404029,0.04837241,0.01584123,0.001843396,0.004722258,0.0471851,0.00178678,0.4409126],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9914781,"threshold_uncertainty_score":0.202043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6595129583515934,"score_gpt":0.5757135291474199,"score_spread":0.08379942920417349,"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."}}