{"id":"W3036566451","doi":"10.24908/pceea.vi0.14170","title":"WHAT WOMEN STUDENTS WANT THEIR INSTITUTIONS TO DO TO MAKE ENGINEERING EDUCATION MORE INCLUSIVE AND LESS “CHILLY”","year":2020,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Career Development and Diversity","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Engineering education; Acknowledgement; Inclusion (mineral); Diversity (politics); Equity (law); Work (physics); Sexual orientation; Higher education; Underrepresented Minority; Public relations; Sociology; Engineering; Political science; Pedagogy; Medical education; Gender studies; Engineering management; Computer science; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004529341,0.0004113225,0.0003853005,0.0007238759,0.01591053,0.01335348,0.0009692753,0.002675744,0.007365979],"category_scores_gemma":[0.005818889,0.0002455768,0.0004370431,0.001053566,0.01050709,0.005731344,0.005142906,0.002438358,0.001479935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005134481,"about_ca_system_score_gemma":0.01078503,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.034394,"about_ca_topic_score_gemma":0.06897869,"domain_scores_codex":[0.99525,0.001873707,0.00007106234,0.0001832756,0.001164892,0.001457052],"domain_scores_gemma":[0.994691,0.0007731857,0.0007148992,0.0002419159,0.0007590102,0.002819994],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009070613,0.0006088365,0.1376604,0.0003320691,0.0000583812,0.0006210876,0.6378281,0.00009398516,0.00295576,0.04245122,0.02838187,0.1489176],"study_design_scores_gemma":[0.00001131926,0.0001010632,0.02374389,0.0002832379,0.00002627813,0.0001471726,0.8640248,0.00003440181,0.0007951634,0.005531709,0.1052627,0.00003835988],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6843648,0.00169984,0.002206896,0.1897049,0.000674264,0.00008806729,0.00009183524,0.0000719005,0.1210975],"genre_scores_gemma":[0.9708977,0.001089344,0.0009939724,0.01143485,0.00009071258,0.00004100021,0.00002885749,0.00002712953,0.01539648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.965606,"threshold_uncertainty_score":0.06838763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01290509943067004,"score_gpt":0.2527958191254728,"score_spread":0.2398907196948027,"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."}}