{"id":"W3180966202","doi":"10.24908/pceea.vi0.14856","title":"DEVELOPING ETHICAL ENGINEERS WITH EMPATHY","year":2021,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Empathy; Interpersonal communication; Stakeholder; Engineering ethics; Engineering education; Psychology; Process (computing); Engineering design process; Knowledge management; Computer science; Engineering; Social psychology; Engineering management; Public relations; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.008145852,0.0004823703,0.000253732,0.0006161348,0.002985526,0.00458444,0.0005920344,0.001965615,0.006389922],"category_scores_gemma":[0.01555722,0.0003258037,0.0004850423,0.0001984707,0.004032859,0.003256717,0.008368506,0.004378568,0.001994027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001756223,"about_ca_system_score_gemma":0.006253714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005271002,"about_ca_topic_score_gemma":0.001436817,"domain_scores_codex":[0.9922938,0.004914513,0.0002073934,0.0003527398,0.001426462,0.0008050663],"domain_scores_gemma":[0.9928692,0.003041796,0.0006613873,0.0005210434,0.001336823,0.001569674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000576176,0.0009901812,0.01113775,0.0007705831,0.00004515407,0.002025296,0.1773603,0.002264486,0.02590031,0.27498,0.07228445,0.4321838],"study_design_scores_gemma":[0.00004680606,0.000419056,0.006579345,0.001432873,0.00004877584,0.004646634,0.06268665,0.004569015,0.01218636,0.1426357,0.7646461,0.0001026474],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2778532,0.004151994,0.2424375,0.08697164,0.001953781,0.0008160939,0.00004950441,0.0008632211,0.384903],"genre_scores_gemma":[0.7979175,0.003895721,0.1219047,0.01473042,0.000233799,0.0004852232,0.0000582322,0.0001394511,0.06063508],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008145852,"threshold_uncertainty_score":0.04307991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005459254700485063,"score_gpt":0.1888910552153307,"score_spread":0.1834318005148457,"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."}}