{"id":"W3125512907","doi":"","title":"Building Better Budgets: Canada’s Cities Should Clean Up their Financial Reporting","year":2015,"lang":"en","type":"article","venue":"C.D. Howe Institute Commentary","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Taxpayer; Revenue; Finance; Business; Operating budget; Federal budget; Economics; Fiscal year","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":[0.0008150414,0.0001871765,0.0002553996,0.00006112554,0.0008881534,0.0001072018,0.0004382254,0.0000972039,0.00003711538],"category_scores_gemma":[0.0009804016,0.0001942666,0.00007828332,0.000204112,0.0003773351,0.0005487392,0.0001212121,0.000301413,0.000004322806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001377685,"about_ca_system_score_gemma":0.003333594,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9819322,"about_ca_topic_score_gemma":0.9956742,"domain_scores_codex":[0.9980045,0.00008261691,0.0005283296,0.0002761309,0.0004712265,0.0006371745],"domain_scores_gemma":[0.9986897,0.00006759095,0.0004416127,0.0002859626,0.00008227763,0.0004328756],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000130856,0.00001043882,0.004254515,0.000007653676,0.00001665739,0.0001379821,0.005547987,0.00001788809,0.000008964864,0.01283184,0.9574825,0.01967049],"study_design_scores_gemma":[0.0002767853,0.00001558045,0.002308505,0.00005733102,0.00001029823,0.000008424154,0.00256535,0.000008070036,0.000263828,0.003327331,0.9909,0.0002585281],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6696234,0.0004241849,0.0002687494,0.3048682,0.006468724,0.0003257999,0.0003593687,0.0001019097,0.01755967],"genre_scores_gemma":[0.8488981,0.00004377852,0.0004418739,0.1466015,0.002447178,0.00001644257,0.00002642176,0.0000189969,0.001505658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1792748,"threshold_uncertainty_score":0.7921964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09290511994886816,"score_gpt":0.3200658970688281,"score_spread":0.2271607771199599,"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."}}