{"id":"W7127412980","doi":"10.56251/kcir7407","title":"PASAI Collaborates with CAAF to Develop Performance Measurement Systems in Two SAIs","year":2023,"lang":"","type":"article","venue":"International journal of government auditing","topic":"Public Policy and Administration Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Performance measurement; Audit; Accountability; Foundation (evidence); Performance audit; Information technology audit","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":[],"consensus_categories":[],"category_scores_codex":[0.006786855,0.0001995169,0.0003116755,0.0003525119,0.0002815998,0.0007213977,0.0009522664,0.00005448878,0.0001515592],"category_scores_gemma":[0.003022434,0.000177768,0.00005177824,0.002274747,0.0001148785,0.0008111091,0.0001724182,0.0003718834,0.000085502],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003862786,"about_ca_system_score_gemma":0.002957443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000690844,"about_ca_topic_score_gemma":0.002056063,"domain_scores_codex":[0.9899867,0.000310662,0.00108507,0.0002420616,0.007786122,0.0005893541],"domain_scores_gemma":[0.9953014,0.0003295705,0.001088639,0.00009912126,0.002842729,0.0003385972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003770093,0.001603571,0.5561247,0.0004214401,0.003271946,0.004018502,0.0569154,0.1042328,0.01213414,0.03021092,0.09796824,0.1293282],"study_design_scores_gemma":[0.008685358,0.001902934,0.3556633,0.009326451,0.00008585556,0.0002158676,0.1056914,0.01440809,0.007963134,0.0001822541,0.4943328,0.00154249],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9580109,0.0001033108,0.0002326438,0.027266,0.001937619,0.0003623571,0.0001128276,0.00001574142,0.01195867],"genre_scores_gemma":[0.9962603,0.0003684288,0.00016154,0.000300059,0.001473449,0.00002336785,0.000002487561,0.00001677297,0.001393634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3963646,"threshold_uncertainty_score":0.9999612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06626348542718523,"score_gpt":0.3789901681954027,"score_spread":0.3127266827682174,"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."}}