{"id":"W7014333264","doi":"","title":"Performance-based budgeting in Canada: Assessing the association between past performance and subsequent resource allocation","year":2023,"lang":"en","type":"dissertation","venue":"UVic’s Research and Learning Repository (University of Victoria)","topic":"Accounting and Organizational Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Allocative efficiency; Resource allocation; Staffing; Context (archaeology); Data envelopment analysis; Panel data; Government (linguistics); Officer","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003837349,0.0004816212,0.0005833544,0.003508024,0.004211395,0.002547148,0.001983401,0.0004396751,0.002741667],"category_scores_gemma":[0.01481216,0.0003348917,0.0006588079,0.01036016,0.00101573,0.001054824,0.001787446,0.001220586,0.0003523682],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0751837,"about_ca_system_score_gemma":0.1384631,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9969926,"about_ca_topic_score_gemma":0.9978212,"domain_scores_codex":[0.9962567,0.0004266247,0.0002327877,0.0003132334,0.001893803,0.0008768475],"domain_scores_gemma":[0.9823254,0.001133549,0.002524632,0.0005208993,0.01091356,0.002581928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001088647,0.00008800763,0.9526774,0.0001380646,0.0001463211,0.00005594564,0.001771593,0.001448547,0.0001092358,0.001885884,0.008674679,0.03289559],"study_design_scores_gemma":[0.000007373521,0.00003583453,0.9865194,0.000104126,0.0000345573,0.00001804745,0.002878075,0.002016889,0.0001369325,0.0001840898,0.008030823,0.00003387598],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9555179,0.001692121,0.001773052,0.003488766,0.00008351287,0.0002407678,0.01495309,0.00007159582,0.0221792],"genre_scores_gemma":[0.9866005,0.0008909982,0.002273592,0.0002322323,0.00001485552,0.00008790727,0.006239901,0.000027171,0.003632918],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9248163,"threshold_uncertainty_score":0.5454985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01611235094449491,"score_gpt":0.2288102091836183,"score_spread":0.2126978582391234,"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."}}