{"id":"W3000159853","doi":"10.1017/s0007123419000644","title":"The Cultural Sources of the Gender Gap in Voter Turnout","year":2020,"lang":"en","type":"article","venue":"British Journal of Political Science","topic":"Gender Politics and Representation","field":"Social Sciences","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Tampereen Yliopisto","keywords":"Parliament; Gender gap; Turnout; Voting; Voter turnout; Context (archaeology); Political science; Politics; Demographic economics; Economics; Law; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001384926,0.000115014,0.0002194071,0.0008710315,0.0004131245,0.0009417883,0.0003108253,0.0002792008,0.007454763],"category_scores_gemma":[0.006333056,0.0001112189,0.0001698198,0.0007799281,0.0007047195,0.000420255,0.0008339193,0.0004102752,0.0006180598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000399707,"about_ca_system_score_gemma":0.0002544668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004021792,"about_ca_topic_score_gemma":0.005672293,"domain_scores_codex":[0.9990411,0.0003945987,0.00003294651,0.0001776564,0.0001341305,0.0002195463],"domain_scores_gemma":[0.9959989,0.001846493,0.0009472903,0.0003373338,0.0004389903,0.0004311042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000721646,0.0001319025,0.9430768,0.0000820392,0.0001336993,0.0003576927,0.01291735,0.0002482362,0.002431257,0.007286979,0.00108084,0.03153158],"study_design_scores_gemma":[0.000005217684,0.00003664962,0.9922493,0.00002207505,0.00001347965,0.00007783893,0.004609089,0.0001233289,0.0004498307,0.0009564077,0.001451407,0.000005423298],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894454,0.000513151,0.0002280587,0.0003074097,0.00002149424,0.000004688609,0.0002178097,0.000003512725,0.009258624],"genre_scores_gemma":[0.9995427,0.0000488137,0.00002047134,0.00001583548,0.000005421552,0.000001451999,0.00004139866,0.000002288973,0.000321578],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007454763,"threshold_uncertainty_score":0.02493864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06059909287288986,"score_gpt":0.3437625384576921,"score_spread":0.2831634455848023,"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."}}