{"id":"W3020652762","doi":"10.4018/978-1-7998-3618-6.ch001","title":"Women in Academia Matter","year":2020,"lang":"en","type":"book-chapter","venue":"Advances in religious and cultural studies (ARCS) book series","topic":"Gender Diversity and Inequality","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University","funders":"","keywords":"Feeling; Power (physics); Equity (law); Dehumanization; Instinct; Public relations; Indigenous; Racism; Political science; Gender studies; Value (mathematics); Sociology; Social psychology; Psychology; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003069819,0.0003767923,0.0007498684,0.00006272132,0.0004727533,0.00006176441,0.0002861077,0.0005794699,0.0001629411],"category_scores_gemma":[0.00008480787,0.0003186283,0.00009114396,0.00007915838,0.001157813,0.001678279,0.0003427779,0.0010635,0.0001037658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004242806,"about_ca_system_score_gemma":0.0000531481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003014921,"about_ca_topic_score_gemma":0.003486915,"domain_scores_codex":[0.997978,0.00007457706,0.0004310242,0.0005553564,0.0003779555,0.000583083],"domain_scores_gemma":[0.9993477,0.00009195358,0.0001925386,0.0001209475,0.00009418068,0.0001526967],"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":[0.0003976508,0.0000266501,0.01247222,0.0008095918,0.0002971625,0.0002004991,0.5066147,0.00001583483,0.000007449481,0.4263166,0.04823287,0.004608707],"study_design_scores_gemma":[0.0002377235,0.00007586829,0.0003114246,0.0001937872,0.00001655081,0.000001821151,0.06244887,7.888928e-8,0.000002097853,0.06826212,0.8680553,0.0003943968],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.004396496,0.2160498,2.299226e-7,0.008454962,0.0003802707,0.0004245616,0.0000395905,0.00006830761,0.7701858],"genre_scores_gemma":[0.02342142,0.7861538,0.0000389983,0.002570363,0.0002270089,0.00003520147,0.0000103662,0.00001724023,0.1875256],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.8198224,"threshold_uncertainty_score":0.9999266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05550723776584428,"score_gpt":0.3117561313592711,"score_spread":0.2562488935934268,"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."}}