{"id":"W4388508519","doi":"10.1016/j.electstud.2023.102712","title":"Are women election averse?","year":2023,"lang":"en","type":"article","venue":"Electoral Studies","topic":"Gender Politics and Representation","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; University of Toronto","funders":"","keywords":"Lottery; Representation (politics); Politics; Political science; Competition (biology); General election; Work (physics); Demographic economics; Public relations; Social psychology; Economics; Microeconomics; Psychology; Law","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002345419,0.00004859985,0.0000843125,0.00006045511,0.0006053557,0.00002913968,0.00005105061,0.00002798416,0.00005368024],"category_scores_gemma":[0.000226519,0.00004334665,0.00002570578,0.0004767304,0.00008877189,0.00006087681,0.00002475513,0.00004617044,0.0002255903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000199442,"about_ca_system_score_gemma":0.00003090148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00149815,"about_ca_topic_score_gemma":0.006091736,"domain_scores_codex":[0.999218,0.00006593434,0.00006824991,0.0001118242,0.0001974965,0.0003384313],"domain_scores_gemma":[0.9997232,0.00004476925,0.00004795988,0.00004607379,0.00009089198,0.00004711759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002212973,0.00006543484,0.5109661,0.00005248875,0.0003924304,0.00003176788,0.1169036,0.0000744328,0.001135435,0.01506439,0.3483606,0.006931137],"study_design_scores_gemma":[0.0003122461,0.0000745369,0.4805515,0.00001362832,0.00001655408,5.401772e-7,0.1289433,0.00003383129,0.0008059643,0.02497797,0.3639838,0.0002861151],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993017,0.0002366754,0.000003733853,0.002398114,0.0006306528,0.00009445277,0.000001644382,0.0001963186,0.003421372],"genre_scores_gemma":[0.985149,0.0001525076,0.000005311784,0.0001065679,0.0003690162,0.00003161658,0.000001654403,0.000004832913,0.01417954],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03041462,"threshold_uncertainty_score":0.4655968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1259231947246369,"score_gpt":0.4089343433572679,"score_spread":0.283011148632631,"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."}}