{"id":"W4385289399","doi":"10.1332/251510821x16884720033706","title":"Where are we with closing the gender gap in internal political efficacy?","year":2023,"lang":"en","type":"article","venue":"European Journal of Politics and Gender","topic":"Gender Politics and Representation","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Closing (real estate); Politics; Gender gap; Political efficacy; Political science; Psychology; Demographic economics; Economics; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.009230802,0.0004094427,0.0009278167,0.001892025,0.002920112,0.009225591,0.001061757,0.002796161,0.02007477],"category_scores_gemma":[0.0206122,0.000362874,0.000592182,0.00140718,0.009322696,0.01358091,0.004112585,0.006338165,0.002730859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00211168,"about_ca_system_score_gemma":0.003982258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004396762,"about_ca_topic_score_gemma":0.006086706,"domain_scores_codex":[0.9965305,0.001512731,0.00008463727,0.0006416503,0.0004608191,0.0007697388],"domain_scores_gemma":[0.9845433,0.009581045,0.001345559,0.000676491,0.001312572,0.002540967],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003049454,0.0003883808,0.07511642,0.001215546,0.0001474025,0.00049123,0.0611234,0.0001185414,0.0003761617,0.2697747,0.07553556,0.5154077],"study_design_scores_gemma":[0.00009531246,0.0002598773,0.1471937,0.008905514,0.000216288,0.0008098148,0.1027226,0.0002409873,0.0004620575,0.4019744,0.3369859,0.0001336257],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.1045907,0.1630115,0.00372095,0.6456009,0.006045336,0.00004558138,0.0007184703,0.00009130149,0.07617528],"genre_scores_gemma":[0.8651963,0.06067705,0.00241714,0.05923917,0.004774694,0.0001701851,0.0002977628,0.0001360221,0.007091572],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.02007477,"threshold_uncertainty_score":0.06715673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1122683511486073,"score_gpt":0.3538490515742835,"score_spread":0.2415807004256762,"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."}}