{"id":"W4321513697","doi":"10.32721/ctj.2022.70.supp.tassonyi","title":"Financing Local Government and Development in Canada in the Aftermath of a Global Pandemic: Continuity and Change","year":2022,"lang":"en","type":"article","venue":"Canadian Tax Journal/Revue fiscale canadienne","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Local government; Public finance; Revenue; Property tax; Government (linguistics); Economics; Government revenue; Finance; Pandemic; Fiscal union; Tax revenue; Public economics; Fiscal policy; Business; Political science; Public administration; Coronavirus disease 2019 (COVID-19); Macroeconomics; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0009864822,0.0001447447,0.0003781658,0.000120393,0.0001886896,0.00003046284,0.0002716273,0.00004767742,0.00005454332],"category_scores_gemma":[0.00005994809,0.0001621327,0.00002692557,0.0002143088,0.00005508503,0.0001156458,0.00007384311,0.0003895808,9.304073e-7],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00758734,"about_ca_system_score_gemma":0.0007135604,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9884321,"about_ca_topic_score_gemma":0.9999189,"domain_scores_codex":[0.9983946,0.00004461324,0.0006358395,0.0002515864,0.0000424509,0.0006309081],"domain_scores_gemma":[0.9991145,0.0000471039,0.0002761736,0.0001476692,0.000008239101,0.0004063878],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001130447,0.00001067336,0.982663,0.00003547659,0.00001320923,0.0002188651,0.00470208,0.00005195284,2.985812e-7,0.003099893,0.001489783,0.007703425],"study_design_scores_gemma":[0.0005872991,0.0000346188,0.9299257,0.00003146306,0.000002479879,0.0004676554,0.002405964,0.000507373,7.872998e-7,0.002907872,0.06292317,0.0002056031],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908347,0.001486977,0.00001588514,0.004626459,0.0002134499,0.0002046189,0.001366978,0.000001139949,0.001249824],"genre_scores_gemma":[0.9983932,0.00004302544,0.00003779809,0.001320471,0.00005293943,0.00005407225,0.0000048992,0.000009675438,0.00008388815],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06143339,"threshold_uncertainty_score":0.9962224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02871074757677534,"score_gpt":0.1750672238389074,"score_spread":0.1463564762621321,"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."}}