{"id":"W4206702202","doi":"10.24908/pceea.v0i0.3843","title":"TOWARDS EFFECTIVE MULTIDISCIPLINARY ENGINEERING EDUCATION: THE MULTIDISCIPLINARY DESIGN STREAM AT QUEEN'S UNIVERSITY - PART II","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":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Multidisciplinary approach; Accreditation; Health systems engineering; Engineering education; Engineering ethics; Engineering management; Engineering; Engineering design process; Medical education; Mechanical engineering; Medicine; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005794769,0.000508187,0.0003728127,0.001189584,0.008966358,0.01104415,0.002183932,0.004007694,0.01633692],"category_scores_gemma":[0.003524589,0.0009437285,0.0005055303,0.0009979022,0.003471727,0.003247213,0.009550514,0.004672626,0.00409],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01762018,"about_ca_system_score_gemma":0.07586353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05122251,"about_ca_topic_score_gemma":0.1801778,"domain_scores_codex":[0.9943447,0.001509885,0.0001898798,0.0004755339,0.002332412,0.001147573],"domain_scores_gemma":[0.9928893,0.0005691129,0.0002577501,0.000387643,0.001279817,0.004616243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009010643,0.001084923,0.015396,0.001443996,0.00001630672,0.001350967,0.05618109,0.002006266,0.01151632,0.05574706,0.2840404,0.5711266],"study_design_scores_gemma":[0.00002913753,0.0003151908,0.02669817,0.0008985355,0.00001132873,0.0008125593,0.04517481,0.002143036,0.004061276,0.01626862,0.9035247,0.00006261874],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3109227,0.0221555,0.1108808,0.2702707,0.006290343,0.001663794,0.0002231504,0.001838104,0.2757549],"genre_scores_gemma":[0.4777778,0.009443275,0.1292912,0.02069915,0.0003573679,0.0006924533,0.0003069006,0.0004256644,0.3610062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9823798,"threshold_uncertainty_score":0.1278439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007202084170995356,"score_gpt":0.184495839660933,"score_spread":0.1772937554899377,"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."}}