{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004431,0.0001723588,0.0003793413,0.0009410362,0.001571939,0.003477485,0.0004901537,0.002110047,0.02150778],"category_scores_gemma":[0.03491633,0.0003238737,0.0002156864,0.0007274266,0.001995011,0.00226643,0.0009712351,0.00182484,0.002218223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004969969,"about_ca_system_score_gemma":0.0008159629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002740057,"about_ca_topic_score_gemma":0.004516689,"domain_scores_codex":[0.997588,0.0009524921,0.00005569159,0.0001821823,0.0003028866,0.0009187791],"domain_scores_gemma":[0.9867449,0.006058771,0.004186461,0.0005567693,0.0008896054,0.00156344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001504282,0.0009600458,0.6570341,0.0003311864,0.0002557049,0.001216629,0.0201995,0.0002721889,0.001246194,0.04631598,0.03344313,0.2372211],"study_design_scores_gemma":[0.0001660054,0.0006503253,0.7277874,0.000535974,0.0002322706,0.001871636,0.08015344,0.000726049,0.001346538,0.05446259,0.1319996,0.00006827689],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8538389,0.003036149,0.0007633117,0.05639163,0.0007189785,0.00004207375,0.0002995691,0.00002539767,0.08488407],"genre_scores_gemma":[0.9916626,0.000762823,0.00008128731,0.002711361,0.0002630195,0.00001386865,0.00004557261,0.00001119944,0.004448256],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02150778,"threshold_uncertainty_score":0.07195067,"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."}}