{"id":"W4294553886","doi":"10.1017/s0008423922000324","title":"Assessing the Promise and Performance of Agencies in the Government of Canada","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Political Science","topic":"Public Policy and Administration Research","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Mandate; Public administration; Government (linguistics); Microdata (statistics); Autonomy; Public relations; Public service; Political science; Work (physics); Service delivery framework; Business; Service (business); Sociology; Marketing; Law; Census","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004834588,0.00002454154,0.00005788288,0.0000469638,0.0007954409,0.00007931247,0.0006124279,0.000006958198,0.00007609048],"category_scores_gemma":[0.001488196,0.00001495446,0.00001220984,0.0004883841,0.001508449,0.0002115752,0.00002476817,0.000157651,1.587235e-8],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006861701,"about_ca_system_score_gemma":0.03135131,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7250741,"about_ca_topic_score_gemma":0.8054259,"domain_scores_codex":[0.9979838,0.0001846131,0.0001710854,0.00004354667,0.001210085,0.0004068701],"domain_scores_gemma":[0.9991691,0.0002317103,0.00008148937,0.00006113865,0.00008023201,0.0003763084],"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":[0.000002813315,0.00001025255,0.0387046,0.000007597171,0.000001658547,0.00001669098,0.007591268,0.00002259274,0.0001562272,0.9520774,0.0003679135,0.001040985],"study_design_scores_gemma":[0.00007966459,0.0001073583,0.8950304,0.00001587651,0.00000263543,0.00002740505,0.09663503,0.0002822568,0.0003501486,0.001384826,0.006042523,0.00004187445],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9642156,0.00002529623,8.907583e-7,0.01872074,0.00005363793,0.00004834095,0.000009967662,1.63288e-7,0.01692534],"genre_scores_gemma":[0.9994599,0.000001911385,0.00001186085,0.0004125536,0.00002731871,0.000001290768,1.985971e-8,6.245405e-7,0.00008447048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9506926,"threshold_uncertainty_score":0.97414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05415217476477602,"score_gpt":0.3608446867092728,"score_spread":0.3066925119444968,"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."}}