{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002629281,0.0001890362,0.0001853891,0.0002143426,0.00009996066,0.00008923793,0.000227447,0.0003362922,0.00003235245],"category_scores_gemma":[0.0005599608,0.0001749973,0.00006764851,0.0009875417,0.00001857962,0.0001394864,0.00001731825,0.0005693527,0.00001128674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002229498,"about_ca_system_score_gemma":0.001085213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005701319,"about_ca_topic_score_gemma":0.001463289,"domain_scores_codex":[0.9987995,0.000004238422,0.0002645609,0.0001810186,0.0003731378,0.0003775552],"domain_scores_gemma":[0.9989439,0.00005004474,0.00007893959,0.0001170987,0.0005486428,0.0002614202],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001704973,0.0003857925,0.07940885,0.01348091,0.002336223,0.000006571529,0.02207479,0.1109227,0.04777569,0.2684982,0.4375855,0.01750771],"study_design_scores_gemma":[0.001234125,0.00006486689,0.3886435,0.002643709,0.0003540406,0.0001448356,0.003482126,0.0501966,0.09847194,0.001339168,0.4506492,0.002775913],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9344069,0.0009622193,0.002373983,0.03791575,0.009453755,0.0006322488,0.00005274015,0.001074309,0.01312813],"genre_scores_gemma":[0.9918846,0.00003403965,0.0063958,0.00043065,0.0002633818,0.00005528528,0.00002074454,0.0000601704,0.0008552622],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3092346,"threshold_uncertainty_score":0.7136185,"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."}}