{"id":"W2626677135","doi":"","title":"Votes for Women: Electoral Systems and Support for Female Candidates","year":2017,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Electoral Systems and Political Participation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Western University","funders":"","keywords":"Voting; Legislature; Parliament; Proportional representation; Electoral system; Representation (politics); Affect (linguistics); Political science; Psychology; Law; Politics","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":[0.002932797,0.0001941361,0.0004507949,0.001721481,0.001107612,0.003024142,0.0005549785,0.0009218183,0.03816658],"category_scores_gemma":[0.02230395,0.0001509683,0.0003794887,0.00175273,0.0006421776,0.001008902,0.001270739,0.0009295665,0.003285883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006465008,"about_ca_system_score_gemma":0.0004212369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002713651,"about_ca_topic_score_gemma":0.004764463,"domain_scores_codex":[0.9983883,0.0006484679,0.00006713448,0.0001969755,0.0002430389,0.0004560745],"domain_scores_gemma":[0.9907097,0.004093425,0.002201515,0.0004656301,0.0009217381,0.001608038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003169886,0.0004137174,0.8136975,0.000302894,0.0004127974,0.0003853718,0.007912073,0.001213929,0.001972707,0.03179704,0.03320653,0.1055156],"study_design_scores_gemma":[0.0001075053,0.0002099695,0.9622507,0.00007245515,0.0001114271,0.0001526468,0.007676308,0.001352321,0.0006998855,0.008401643,0.01893839,0.00002674368],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9419689,0.001132579,0.0005769994,0.006950662,0.0001381232,0.00003123268,0.002755689,0.00003015391,0.04641572],"genre_scores_gemma":[0.9931319,0.00008988744,0.00004418438,0.00009037068,0.00009028126,0.000007550273,0.0004239003,0.00001072183,0.006111066],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03816658,"threshold_uncertainty_score":0.1276799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08973180642141076,"score_gpt":0.4179861840437932,"score_spread":0.3282543776223824,"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."}}