{"id":"W1722958835","doi":"10.24908/pceea.v0i0.5940","title":"WHAT CONSTITUTES A MULTIDISCIPLINARY CAPSTONE DESIGN COURSE? BEST PRACTICES, SUCCESSES AND CHALLENGES.","year":2015,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Design Education and Practice","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Multidisciplinary approach; Capstone; Remedial education; Multidisciplinary team; Engineering ethics; Engineering management; Discipline; Capstone course; Work (physics); Engineering; Medical education; Mathematics education; Psychology; Computer science; Sociology; Medicine; Mechanical engineering; Social science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.0215431,0.0006145888,0.000435135,0.001633856,0.00555698,0.009447506,0.002881959,0.003271067,0.01194931],"category_scores_gemma":[0.03574881,0.0004377494,0.0003434254,0.00162543,0.002320462,0.005921401,0.006517131,0.003033578,0.004075563],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005121292,"about_ca_system_score_gemma":0.02369826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003324149,"about_ca_topic_score_gemma":0.01555653,"domain_scores_codex":[0.9849898,0.005330527,0.0007363774,0.001229552,0.005748929,0.001964953],"domain_scores_gemma":[0.941474,0.007543839,0.004149375,0.003158192,0.009862573,0.03381203],"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":[0.00009097967,0.001928945,0.02451191,0.0008844199,0.00003002739,0.0003917989,0.006691693,0.0004694317,0.001755953,0.01058729,0.04697957,0.905678],"study_design_scores_gemma":[0.000106011,0.001411574,0.1638035,0.00798219,0.00005304756,0.002713918,0.08236355,0.002554106,0.007157867,0.03539076,0.6961676,0.0002957946],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4145274,0.0466418,0.04950934,0.2704301,0.006986833,0.001734464,0.0003165863,0.001639424,0.2082141],"genre_scores_gemma":[0.8899418,0.01010274,0.06075745,0.00999808,0.0006737518,0.0006704457,0.0003076329,0.000248246,0.0272999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9948787,"threshold_uncertainty_score":0.1139322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06185665229483965,"score_gpt":0.2833904206241346,"score_spread":0.2215337683292949,"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."}}