{"id":"W2490283531","doi":"10.1002/9781119272106.ch8","title":"Overcoming Women's Obstacles","year":2016,"lang":"en","type":"other","venue":"","topic":"Gender Diversity and Inequality","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Governor; Representation (politics); Government (linguistics); Personality psychology; Reading (process); Vice president; Process (computing); Psychology; Public relations; Business; Gender studies; Political science; Management; Sociology; Law; Social psychology; Engineering; Computer science; Economics; Personality; Politics","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":[0.00973987,0.0009722105,0.0006758651,0.00171138,0.03439293,0.01211452,0.002559813,0.006078919,0.03054886],"category_scores_gemma":[0.01370594,0.0004877715,0.0007988091,0.001707845,0.01005346,0.008023281,0.01849234,0.006839238,0.005322285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01042551,"about_ca_system_score_gemma":0.03865122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07224078,"about_ca_topic_score_gemma":0.1697725,"domain_scores_codex":[0.9907707,0.003341584,0.0001620619,0.0005171091,0.001550887,0.003657629],"domain_scores_gemma":[0.9935469,0.001951595,0.0003975214,0.0003188851,0.001307388,0.002477779],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004142315,0.0001440862,0.005681014,0.0005766722,0.00002821386,0.001804034,0.2994821,0.0001243571,0.0006103488,0.1590524,0.3343004,0.198155],"study_design_scores_gemma":[0.000006348401,0.00002950636,0.001247135,0.0006939419,0.000008301477,0.0003580152,0.146997,0.00002286771,0.0001385221,0.008031598,0.8424528,0.00001402902],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.04049985,0.0176096,0.005732263,0.3725909,0.006303328,0.0002898733,0.0001836143,0.0002390774,0.5565515],"genre_scores_gemma":[0.4641106,0.02023588,0.006271414,0.1287808,0.001796485,0.0006494046,0.0002706592,0.0004751698,0.3774095],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07224078,"threshold_uncertainty_score":0.1436406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07718179773589766,"score_gpt":0.3058413207318763,"score_spread":0.2286595229959786,"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."}}