{"id":"W282489851","doi":"","title":"Gender Inequity in Business Academia: Past and Present","year":2010,"lang":"en","type":"article","venue":"Forum on public policy","topic":"Gender Diversity and Inequality","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Salary; Political science; Higher education; Public relations; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009332177,0.00009700302,0.0001281123,0.0002500929,0.0003795544,0.0001283254,0.0003240197,0.0003751822,0.0001663391],"category_scores_gemma":[0.000708364,0.00009429517,0.00002882185,0.0007182012,0.0002660163,0.0005035399,0.0002321081,0.0006244938,0.00004608608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008428865,"about_ca_system_score_gemma":0.0004646971,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01573848,"about_ca_topic_score_gemma":0.007279523,"domain_scores_codex":[0.9985557,0.0001306268,0.0001452978,0.0002325375,0.0003427384,0.0005931079],"domain_scores_gemma":[0.9993614,0.00006348363,0.00005759644,0.0001789222,0.00008540195,0.0002532023],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000008013703,0.0001030131,0.1919956,0.00001199821,0.000006538302,0.000001690904,0.006003958,0.000001106799,0.00004727028,0.7841381,0.01086435,0.006818386],"study_design_scores_gemma":[0.0002978729,0.00001077585,0.5268303,0.000002347706,0.000001876321,6.233983e-7,0.001747895,0.000008941981,0.00001450019,0.01585227,0.4551137,0.0001188989],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.695333,0.00001908757,0.00002285425,0.1845995,0.0002776154,0.0001756782,0.00002244139,0.00005982619,0.11949],"genre_scores_gemma":[0.9960921,0.00005545794,0.00003118553,0.002366057,0.0006763297,0.000006768613,0.000005601444,0.000005210391,0.000761294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7682858,"threshold_uncertainty_score":0.9908158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1147032212537684,"score_gpt":0.3476872592652488,"score_spread":0.2329840380114804,"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."}}