{"id":"W4405675014","doi":"10.24908/pceea.2024.18587","title":"Using immersive technology to raise awareness about diversity and inclusion in engineering","year":2024,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Higher Education and Employability","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; University of Ottawa","keywords":"Inclusion (mineral); Diversity (politics); Human–computer interaction; Computer science; Engineering ethics; Psychology; Engineering; Sociology; Social psychology; Anthropology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004950301,0.0006430146,0.0002659984,0.0008403563,0.001671722,0.003893374,0.001181947,0.001144521,0.003716844],"category_scores_gemma":[0.01082856,0.0004109369,0.0003454938,0.0004325884,0.004691206,0.003398668,0.008121935,0.001731644,0.0003475828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008810263,"about_ca_system_score_gemma":0.001424673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00273498,"about_ca_topic_score_gemma":0.00873753,"domain_scores_codex":[0.9967788,0.001999715,0.00007802183,0.0002207518,0.0005823678,0.0003403767],"domain_scores_gemma":[0.9886723,0.008753844,0.0006605397,0.0008141305,0.000435589,0.0006635564],"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":[0.0003390783,0.001580105,0.0370026,0.001255113,0.0001004754,0.001762601,0.57911,0.001822662,0.05208454,0.01101785,0.005989179,0.3079358],"study_design_scores_gemma":[0.0002797246,0.00513481,0.09439375,0.002458807,0.0002321579,0.004898698,0.4781161,0.005502035,0.03676308,0.0294546,0.3423331,0.0004332248],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9279845,0.0009405287,0.03895963,0.002491465,0.0001388242,0.0002478356,0.0000590937,0.000347525,0.02883052],"genre_scores_gemma":[0.9695286,0.0006336503,0.02318506,0.0004019009,0.00002948357,0.000191695,0.00003379328,0.00004037054,0.005955462],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.004950301,"threshold_uncertainty_score":0.02618003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0147086977062618,"score_gpt":0.2926964696767424,"score_spread":0.2779877719704806,"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."}}