{"id":"W2128384648","doi":"10.1177/1065912909349631","title":"Informal Influences in Selecting Female Political Candidates","year":2009,"lang":"en","type":"article","venue":"Political Research Quarterly","topic":"Gender Politics and Representation","field":"Social Sciences","cited_by":244,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Politics; Proposition; Political science; Set (abstract data type); Public relations; Public administration; Composition (language); Local election; 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":[0.003485044,0.000187551,0.0002125879,0.00102979,0.002166818,0.002050485,0.0002815448,0.0004709914,0.009593718],"category_scores_gemma":[0.02022413,0.0001350165,0.0001622931,0.0007230579,0.001582086,0.0005679252,0.001622339,0.0004847074,0.0009456546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009101558,"about_ca_system_score_gemma":0.0008657867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01260309,"about_ca_topic_score_gemma":0.02792449,"domain_scores_codex":[0.99518,0.00282042,0.0001843124,0.0002570378,0.0006642246,0.0008940046],"domain_scores_gemma":[0.9872829,0.007487986,0.00246562,0.0005855068,0.0007598361,0.001418106],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006831548,0.0006632831,0.8407498,0.0001524161,0.00007073263,0.001409339,0.03574146,0.0004188657,0.002889683,0.01719449,0.004783152,0.09524353],"study_design_scores_gemma":[0.00008291509,0.0003769808,0.8939682,0.0002353734,0.00006440975,0.001053755,0.0510585,0.00144291,0.002073791,0.008606658,0.04097914,0.00005737656],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9551961,0.0002623363,0.001856809,0.00128343,0.00006607583,0.00006661122,0.00007366457,0.00001445433,0.04118047],"genre_scores_gemma":[0.996159,0.00006998946,0.0001807861,0.000151373,0.00002726239,0.00001405934,0.00002954361,0.000004537344,0.003363426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01260309,"threshold_uncertainty_score":0.03209418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09907213906656631,"score_gpt":0.4741072488650793,"score_spread":0.375035109798513,"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."}}