{"id":"W1576076589","doi":"10.24908/pceea.v0i0.3991","title":"THE ENGINEERING DESIGN COMPETENCY","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Engineering Education and Curriculum Development","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; McGill University; University of Calgary; University of Guelph; University of British Columbia; University of New Brunswick; Dalhousie University; Queen's University; Natural Sciences and Engineering Research Council of Canada; Université de Sherbrooke; Polytechnique Montréal","funders":"","keywords":"Engineering design process; Competition (biology); Engineering management; Core competency; Quality (philosophy); Value engineering; Process (computing); Product design; Order (exchange); Engineering; Product (mathematics); Manufacturing engineering; New product development; Computer science; Business; Operations management; Mechanical engineering; Marketing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005025548,0.0002251751,0.0001595292,0.0002253326,0.0002217432,0.0001040358,0.0005315185,0.0001405584,0.0000380712],"category_scores_gemma":[0.0005180308,0.0001899809,0.00009160655,0.0006564371,0.00001531017,0.0001827099,0.00002248586,0.0003096546,0.00002746562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001775625,"about_ca_system_score_gemma":0.0004971037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000786813,"about_ca_topic_score_gemma":0.0006566995,"domain_scores_codex":[0.9986964,0.000005219695,0.0003724543,0.0001556175,0.000307841,0.00046247],"domain_scores_gemma":[0.9990234,0.00007317425,0.000133878,0.0001599009,0.0003688527,0.0002408],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00001168484,0.0003510629,0.06294579,0.001686561,0.001531542,8.814951e-7,0.02104123,0.1425463,0.01638755,0.2380394,0.5044688,0.01098917],"study_design_scores_gemma":[0.0005606678,0.00005065241,0.4936799,0.0006439293,0.0001854639,0.0000306586,0.001321545,0.1105684,0.03480667,0.0009514554,0.3552927,0.001907883],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6839032,0.007395864,0.008808536,0.01411104,0.09198099,0.008169306,0.0001135519,0.006812859,0.1787046],"genre_scores_gemma":[0.9906774,0.00007067752,0.007179352,0.00008020677,0.0001751816,0.0001845426,0.000003495141,0.0000778321,0.001551383],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4307342,"threshold_uncertainty_score":0.7747197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00786292235177777,"score_gpt":0.1637862347521377,"score_spread":0.1559233124003599,"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."}}