{"id":"W4380267343","doi":"10.1515/9780228002598-015","title":"Gender Inequality and Canadian Fiscal Policy: From “Taxing for Growth” to “Taxing for Gender Equality”","year":2020,"lang":"en","type":"book-chapter","venue":"McGill-Queen's University Press eBooks","topic":"Social Policy and Reform Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Gender inequality; Inequality; Gender equality; Fiscal policy; Economics; Political science; Labour economics; Development economics; Sociology; Macroeconomics; Gender studies","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":[0.001982613,0.000709352,0.0004717935,0.00340346,0.01476388,0.009134304,0.001741057,0.003544263,0.01580033],"category_scores_gemma":[0.004937704,0.000460526,0.0004925355,0.006940732,0.009426319,0.004136776,0.002527126,0.004776178,0.000910793],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1932395,"about_ca_system_score_gemma":0.3167028,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9958818,"about_ca_topic_score_gemma":0.9980763,"domain_scores_codex":[0.997488,0.0002597051,0.00003862669,0.000144494,0.0009083538,0.001160768],"domain_scores_gemma":[0.9985922,0.00017076,0.00004909945,0.00005715312,0.0007270681,0.0004036782],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001678,0.00001182697,0.000580634,0.00006525072,0.000006177228,0.00002831005,0.003306716,0.0004174559,0.0000448153,0.7729372,0.1987364,0.02384852],"study_design_scores_gemma":[0.00001161444,0.000005517265,0.005935383,0.0003794121,0.00001527806,0.0000283573,0.005614994,0.0002967108,0.00009044311,0.08598115,0.9015998,0.0000412891],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01088905,0.04373605,0.0008519455,0.2074772,0.002444612,0.00004154538,0.0008093539,0.00006925032,0.733681],"genre_scores_gemma":[0.4177942,0.05173881,0.002095725,0.02847623,0.001164225,0.00009970512,0.0005740094,0.0001672954,0.4978898],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1932395,"threshold_uncertainty_score":0.9357278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08451092138587624,"score_gpt":0.2956825367111073,"score_spread":0.2111716153252311,"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."}}