{"id":"W2039350129","doi":"10.1017/s0003055414000227","title":"Uncovering the Origins of the Gender Gap in Political Ambition","year":2014,"lang":"en","type":"article","venue":"American Political Science Review","topic":"Gender Politics and Representation","field":"Social Sciences","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"York University; Temple University; Yale University; Harvard University; National Science Foundation","keywords":"Politics; Disadvantage; Gender gap; Socialization; Political science; Representation (politics); Gender studies; Sociology; Demographic economics; Psychology; Social psychology; Law; Economics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.005727332,0.00009751927,0.0003344855,0.001493999,0.0004656769,0.0008024009,0.0003545011,0.0003895928,0.002266655],"category_scores_gemma":[0.01068585,0.0001213648,0.000152654,0.002347795,0.0009929385,0.0008218822,0.001019641,0.0004491673,0.0002987313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005664196,"about_ca_system_score_gemma":0.000950451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005778364,"about_ca_topic_score_gemma":0.01220659,"domain_scores_codex":[0.9967828,0.001984057,0.0001217537,0.0003316347,0.0004376597,0.0003421348],"domain_scores_gemma":[0.9943667,0.003304952,0.00117971,0.0002144354,0.0007108003,0.0002234369],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002173934,0.00007728385,0.7539228,0.0006573106,0.0001341166,0.0004576876,0.03214352,0.0002134576,0.001226154,0.0470249,0.00764589,0.1562795],"study_design_scores_gemma":[0.00001379216,0.000102583,0.9247396,0.0004266562,0.00004952389,0.000267977,0.03156533,0.0003213698,0.0003550596,0.007493512,0.03464996,0.00001466564],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9497667,0.0174913,0.001591254,0.005044302,0.0001245229,0.00003641349,0.0004885637,0.000005120336,0.02545179],"genre_scores_gemma":[0.9945786,0.003639941,0.0002463829,0.0004796968,0.00004835373,0.00002780603,0.0001466721,0.000003213893,0.0008293961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005778364,"threshold_uncertainty_score":0.03028941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05509635796580101,"score_gpt":0.3946754689008339,"score_spread":0.3395791109350329,"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."}}