{"id":"W3122395860","doi":"10.2139/ssrn.1071081","title":"An Analysis of Effective Marginal Tax Rates in Quebec","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Group for Research in Decision Analysis; Université Laval","funders":"","keywords":"Economics; Microsimulation; Redistribution (election); Population; Demographic economics; Labour economics; Quarter (Canadian coin); Distribution (mathematics); Income tax; Public economics; Geography; Demography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001185301,0.0002083429,0.0004295435,0.001730177,0.001533951,0.001991411,0.001211901,0.0003902745,0.00732046],"category_scores_gemma":[0.004591448,0.0001984048,0.0005551004,0.003440724,0.0005298001,0.0005391026,0.0004697252,0.0006445558,0.0002664606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05042861,"about_ca_system_score_gemma":0.01538836,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9913004,"about_ca_topic_score_gemma":0.9935181,"domain_scores_codex":[0.9991003,0.0002458448,0.00002764987,0.00008562023,0.0001680946,0.0003725002],"domain_scores_gemma":[0.996483,0.0009712799,0.0003084742,0.0001335716,0.001770058,0.0003335869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005776801,0.0001644335,0.8481483,0.00008291672,0.0004222399,0.0004900171,0.00175829,0.06007466,0.000695442,0.04163468,0.01070646,0.03524485],"study_design_scores_gemma":[0.00002036107,0.00004308175,0.9580318,0.00003739386,0.00005646627,0.00004787037,0.001905865,0.03110593,0.0002061709,0.0005565723,0.007956978,0.00003153071],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9805908,0.0006787577,0.0007111916,0.0004952872,0.00001275505,0.00003518393,0.004617824,0.00003443805,0.0128238],"genre_scores_gemma":[0.9940751,0.0001517269,0.0002490776,0.00003285212,0.000003199794,0.00001056106,0.0009782726,0.00001210586,0.004487076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05042861,"threshold_uncertainty_score":0.3658869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005701767040166683,"score_gpt":0.2893832759908468,"score_spread":0.2836815089506801,"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."}}