{"id":"W2510333687","doi":"10.5509/2016892325","title":"Reserved for Whom? The Electoral Impact of Gender Quotas in Taiwan","year":2016,"lang":"en","type":"article","venue":"Pacific Affairs","topic":"Gender Politics and Representation","field":"Social Sciences","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Political science; Demographic economics; Gender studies; Economics; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.002403223,0.00008773084,0.0002200711,0.0006198083,0.004367467,0.003612565,0.0004876021,0.0008505507,0.01103398],"category_scores_gemma":[0.005363182,0.0001470061,0.0001827025,0.001021727,0.002305878,0.001549037,0.002601323,0.001585774,0.0005776407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00223854,"about_ca_system_score_gemma":0.003058884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04050221,"about_ca_topic_score_gemma":0.1250938,"domain_scores_codex":[0.9980875,0.0007303621,0.00004106969,0.00007936225,0.0001179716,0.0009436773],"domain_scores_gemma":[0.9977922,0.0007644732,0.0003346984,0.000103235,0.0002392337,0.0007661136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00183064,0.0009272265,0.4394452,0.0001594216,0.0001278939,0.002511263,0.1677968,0.001268633,0.001957908,0.2538636,0.02488726,0.1052242],"study_design_scores_gemma":[0.00008146088,0.0004014958,0.4606348,0.000118082,0.00009509193,0.0001990322,0.4557518,0.002489592,0.000926932,0.01663441,0.06260926,0.00005803431],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9595006,0.00008451829,0.00006226796,0.003380916,0.00003799691,0.000008608599,0.00002752535,0.000002770659,0.03689472],"genre_scores_gemma":[0.9965198,0.00002146807,0.000007416731,0.0001071254,0.000008060088,0.000002994611,0.000008219977,0.00000151633,0.00332337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04050221,"threshold_uncertainty_score":0.08053297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0607025332321172,"score_gpt":0.3537108752071447,"score_spread":0.2930083419750275,"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."}}