{"id":"W1571269868","doi":"10.3138/cpp.35.3.344","title":"An Analysis of Effective Marginal Tax Rates in Quebec","year":2009,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; Université Laval","funders":"","keywords":"Microsimulation; Economics; Redistribution (election); Demographic economics; Population; Quarter (Canadian coin); Labour economics; Distribution (mathematics); Income tax; Public economics; Geography; Demography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0009919041,0.0002352583,0.0003477179,0.001442795,0.0008718461,0.00160339,0.0009806803,0.0003506604,0.006276638],"category_scores_gemma":[0.004478203,0.0001888257,0.0004194955,0.002059446,0.0004018354,0.0004414841,0.0003375708,0.000510193,0.0002311467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04143519,"about_ca_system_score_gemma":0.008694078,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.983328,"about_ca_topic_score_gemma":0.9735827,"domain_scores_codex":[0.9993167,0.0001590993,0.00001787104,0.0000735889,0.0001717456,0.0002609396],"domain_scores_gemma":[0.9977831,0.0004605797,0.000213317,0.0001374635,0.001267777,0.0001377848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0002514941,0.0001019227,0.343087,0.0001020089,0.0003337809,0.000491597,0.0008197482,0.4584731,0.00133676,0.1272262,0.01879516,0.04898116],"study_design_scores_gemma":[0.0000289261,0.0000402095,0.4764476,0.00006639739,0.00005499448,0.00009968048,0.0008154762,0.4952311,0.000520547,0.004089625,0.02252789,0.0000775023],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.951619,0.000994297,0.004932999,0.001195471,0.00002351646,0.00007477224,0.007503883,0.0001540959,0.03350206],"genre_scores_gemma":[0.9929076,0.0001727389,0.0008244821,0.00004373777,0.000003657692,0.00001429996,0.001330934,0.00001852007,0.004684059],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04143519,"threshold_uncertainty_score":0.3006348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01142879832494894,"score_gpt":0.2951990067204142,"score_spread":0.2837702083954652,"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."}}