{"id":"W3211916329","doi":"","title":"Does Income Inequality enter into an Aggregate Model of Voter Turnout? Evidence from Canada and Indian States","year":2021,"lang":"en","type":"article","venue":"Carleton Economic Papers","topic":"Social Policy and Reform Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Turnout; Voter turnout; Inequality; Economic inequality; Demographic economics; Economics; Econometrics; Political science; Voting; Mathematics; Politics","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":[0.00115521,0.0002843853,0.0005253467,0.001264559,0.0015062,0.001987968,0.0007470712,0.0003240902,0.004040717],"category_scores_gemma":[0.003328745,0.000153142,0.0007754269,0.001988401,0.001182547,0.000696355,0.0008816683,0.0008501922,0.0003618207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00760655,"about_ca_system_score_gemma":0.004822439,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9116806,"about_ca_topic_score_gemma":0.9152756,"domain_scores_codex":[0.9993415,0.0001363678,0.00001484767,0.00009278455,0.0001074596,0.0003069373],"domain_scores_gemma":[0.9985483,0.0003652978,0.0002680467,0.0001644426,0.0003537124,0.000300182],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002047376,0.0001035089,0.9474193,0.00003421659,0.0001676595,0.0001605562,0.002185525,0.01572957,0.0002811169,0.01882763,0.001773686,0.01311249],"study_design_scores_gemma":[0.00002905246,0.00006743873,0.9285439,0.00004009806,0.0001902766,0.00006348995,0.003887531,0.05504954,0.0002295911,0.006734989,0.005131492,0.00003244373],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9859844,0.0001743616,0.001049064,0.001030227,0.000008320015,0.00002030479,0.0006171665,0.0000213354,0.01109486],"genre_scores_gemma":[0.9984261,0.00007433986,0.0001260721,0.00003103847,0.000004250018,0.000003809768,0.0002367934,0.000003453254,0.001094219],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08831936,"threshold_uncertainty_score":0.1776789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02136027350287328,"score_gpt":0.2854266928423146,"score_spread":0.2640664193394413,"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."}}