{"id":"W4414363585","doi":"10.1080/13552074.2025.2497706","title":"Women Winning Office: An Activist’s Guide to Getting Elected","year":2025,"lang":"en","type":"article","venue":"Gender & Development","topic":"Gender Diversity and Inequality","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"MEDLINE; Nurse practitioners","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001585088,0.0001304509,0.0001578203,0.000152111,0.001197172,0.0001299779,0.0003796615,0.00008538827,0.0002657186],"category_scores_gemma":[0.000192271,0.000149357,0.00002700554,0.0006103633,0.00003948232,0.0002206897,0.000182802,0.0001298526,0.0001205808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009662714,"about_ca_system_score_gemma":0.001359202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004931819,"about_ca_topic_score_gemma":0.0004965041,"domain_scores_codex":[0.9980731,0.0002077001,0.0002551332,0.0003844433,0.0004303931,0.0006492181],"domain_scores_gemma":[0.999312,0.00004468939,0.00005628831,0.0001848187,0.0001653209,0.0002369159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009215769,0.0002682217,0.03370854,0.00006908362,0.0002691962,0.00001355128,0.8306611,0.0000966319,0.002993862,0.01162558,0.03581501,0.08438707],"study_design_scores_gemma":[0.000275847,0.00001827675,0.2044309,0.00001652473,0.000008946739,2.312846e-7,0.08127832,0.000007540633,0.002536539,0.0005089596,0.7105817,0.0003362584],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8603594,0.00002384135,0.008879755,0.001107379,0.0004026856,0.0002839396,0.000001637829,0.0002087487,0.1287326],"genre_scores_gemma":[0.9758801,0.000005767941,0.01168558,0.002466724,0.0000744288,0.00002663867,0.000009369141,0.000006870808,0.009844515],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7493828,"threshold_uncertainty_score":0.9207799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08243709059672809,"score_gpt":0.3341240080167728,"score_spread":0.2516869174200447,"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."}}