{"id":"W4308710250","doi":"10.24908/pceea.vi.15941","title":"What Makes an Exemplary Engineering Leader? In the Words of Engineers","year":2022,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Engineering Education and Curriculum Development","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; University of Toronto","keywords":"Set (abstract data type); Perspective (graphical); Engineering ethics; Work (physics); Engineering education; Engineering; Computer science; Engineering management; Mechanical engineering; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003318612,0.0003668295,0.0002773281,0.001016668,0.006423228,0.006472505,0.0006871108,0.002171826,0.003815077],"category_scores_gemma":[0.01332984,0.0001300297,0.0001351473,0.0008211128,0.007768408,0.004534394,0.002357568,0.002658403,0.001742386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002472417,"about_ca_system_score_gemma":0.003186743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004098068,"about_ca_topic_score_gemma":0.007717357,"domain_scores_codex":[0.992812,0.003933027,0.0002011856,0.0005468496,0.001801399,0.0007054697],"domain_scores_gemma":[0.9921543,0.002415572,0.001157905,0.0002725328,0.001743293,0.00225643],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008473395,0.0001747281,0.03198335,0.0004304125,0.00002537711,0.003266328,0.6132482,0.0001894154,0.003932191,0.1003245,0.1273688,0.118972],"study_design_scores_gemma":[0.000008391068,0.0001179325,0.00987034,0.0005752066,0.00001244376,0.002222887,0.5384102,0.000312342,0.0009288332,0.0197544,0.4277276,0.00005941543],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4585053,0.01203801,0.01755594,0.2644938,0.005295372,0.0001105691,0.0001458997,0.0002801006,0.241575],"genre_scores_gemma":[0.9568319,0.00313053,0.003656769,0.0178047,0.0006243666,0.00004401054,0.00006598057,0.00007281115,0.01776872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006472505,"threshold_uncertainty_score":0.01793873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005787321327599876,"score_gpt":0.1900142421190137,"score_spread":0.1842269207914139,"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."}}