{"id":"W2130761192","doi":"10.24908/pceea.v0i0.3943","title":"TOWARDS EFFECTIVE MULTIDISCIPLINARY ENGINEERING EDUCATION: THE MULTIDISCIPLINARY DESIGN STREAM AT QUEEN'S UNIVERSITY","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Design Education and Practice","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Natural Sciences and Engineering Research Council of Canada","funders":"Division of Mathematical Sciences","keywords":"Multidisciplinary approach; Engineering design process; Engineering ethics; Engineering education; Engineering; Engineering management; Work (physics); Professional development; Process (computing); Product design; Design education; New product development; Work in process; Product (mathematics); Medical education; Computer science; Management; Mechanical engineering; Operations management; Sociology; Business; Medicine","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":[0.009374771,0.0004800555,0.0004741405,0.001847502,0.0118681,0.01121734,0.002400127,0.004113384,0.01256509],"category_scores_gemma":[0.005455395,0.001150368,0.0005556277,0.001297029,0.003256816,0.004175147,0.01503536,0.005236682,0.002787901],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01481156,"about_ca_system_score_gemma":0.0904572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0280931,"about_ca_topic_score_gemma":0.1363941,"domain_scores_codex":[0.9918853,0.002595242,0.0003539496,0.0006221281,0.002975896,0.001567545],"domain_scores_gemma":[0.9793961,0.00104991,0.0006279438,0.0007833983,0.00244956,0.01569307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001452699,0.003182907,0.03432122,0.001587906,0.00003635232,0.001754701,0.06182419,0.002280712,0.01299116,0.03492327,0.1500727,0.6968796],"study_design_scores_gemma":[0.0001088884,0.001155614,0.08079252,0.001931501,0.00003170627,0.001565441,0.07670072,0.005845456,0.006805505,0.0345121,0.7903806,0.0001698486],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5219164,0.01331333,0.06243056,0.2580986,0.003020867,0.001311383,0.0001178745,0.001266846,0.1385242],"genre_scores_gemma":[0.6995613,0.00641815,0.1505766,0.01671999,0.0003404124,0.0007192435,0.0001692703,0.0002935893,0.1252014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9851884,"threshold_uncertainty_score":0.1074659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009944042514158322,"score_gpt":0.2031940724409661,"score_spread":0.1932500299268078,"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."}}