{"id":"W3002925177","doi":"10.24908/pceea.vi0.13821","title":"FIVE CAPABILITIES OF DESIGN ENGINEERS: TOWARDS UNDERSTANDING THE TRANSDISCIPLINARY COMPETENCIES","year":2019,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Engineering Education and Curriculum Development","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Engineering ethics; Negotiation; Discipline; Work (physics); Sociocultural evolution; Knowledge management; Engineering; Engineering management; Sociology; Computer science","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":[0.008470701,0.00058919,0.0002555492,0.003343685,0.002787291,0.009056796,0.0008808253,0.002082609,0.002791442],"category_scores_gemma":[0.01443022,0.0005244758,0.0003305297,0.001419041,0.01432095,0.008999571,0.00878727,0.003026782,0.0004953388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003405777,"about_ca_system_score_gemma":0.00852207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008082017,"about_ca_topic_score_gemma":0.008777212,"domain_scores_codex":[0.9941766,0.003653956,0.0003006686,0.0003417862,0.0007657358,0.0007612288],"domain_scores_gemma":[0.9827057,0.01022067,0.001364025,0.001162182,0.001855159,0.002692228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004750839,0.0001227874,0.02894406,0.0003164233,0.00001902478,0.001055787,0.3873565,0.00095996,0.002498241,0.494648,0.002240004,0.08179176],"study_design_scores_gemma":[0.00002674714,0.0001233823,0.01841481,0.001271337,0.00002724286,0.001846218,0.470265,0.004037959,0.00212639,0.310326,0.191432,0.0001029406],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5313193,0.003788201,0.08220788,0.02907067,0.0001379105,0.0001923557,0.0001128651,0.0001359753,0.3530349],"genre_scores_gemma":[0.978098,0.0009482775,0.01594189,0.0006975855,0.000009285838,0.00007511433,0.00003546914,0.00001281092,0.004181408],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009056796,"threshold_uncertainty_score":0.0447979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01075878684706313,"score_gpt":0.1923355754970849,"score_spread":0.1815767886500218,"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."}}