{"id":"W4293109450","doi":"10.1111/capa.12490","title":"Internal governmental performance and accountability in Canada: Insights and lessons for post‐pandemic improvement","year":2022,"lang":"en","type":"article","venue":"Canadian Public Administration","topic":"Public Policy and Administration Research","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Accountability; Relevance (law); Government (linguistics); Public relations; Political science; Control (management); Function (biology); Public administration; Pandemic; Public service; Psychology; Business; Coronavirus disease 2019 (COVID-19); Management; Medicine; Law; Economics","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":[0.01364968,0.0006114574,0.0009159257,0.00339716,0.02637556,0.0184168,0.003258654,0.003034039,0.003879553],"category_scores_gemma":[0.02159637,0.0003814962,0.000571175,0.007589414,0.02084797,0.004676821,0.006511046,0.007012181,0.0001734087],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.4027478,"about_ca_system_score_gemma":0.5625643,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9972217,"about_ca_topic_score_gemma":0.9977821,"domain_scores_codex":[0.9806343,0.004280781,0.0002925342,0.00074303,0.004600854,0.009448541],"domain_scores_gemma":[0.9735571,0.006063029,0.001176396,0.0007173915,0.01293593,0.005550222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001629824,0.0003060574,0.05659942,0.0006509234,0.0001078958,0.001087624,0.1924614,0.003687537,0.0006350533,0.5138728,0.08683066,0.1435976],"study_design_scores_gemma":[0.00006713662,0.000115076,0.1509859,0.001816038,0.0001152484,0.0001568581,0.4732088,0.004124281,0.001169867,0.05599828,0.3119037,0.0003388417],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2876426,0.01254118,0.003269116,0.3926357,0.0009571824,0.0003249935,0.0007365279,0.0001971515,0.3016956],"genre_scores_gemma":[0.9835331,0.002767549,0.001322416,0.004486822,0.00006373505,0.00004770281,0.0001131144,0.00003392535,0.007631551],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4027478,"threshold_uncertainty_score":0.6927279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03941388163869321,"score_gpt":0.3248391618210236,"score_spread":0.2854252801823304,"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."}}