{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009121846,0.0001821557,0.0001759667,0.0002057843,0.0001303437,0.0003070021,0.0002322489,0.0001636625,0.00001212631],"category_scores_gemma":[0.002423977,0.0001884466,0.00003324069,0.0003506342,0.00003362431,0.001634621,0.00002207496,0.0002589926,0.00002045681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001141524,"about_ca_system_score_gemma":0.001269363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003562551,"about_ca_topic_score_gemma":0.004301074,"domain_scores_codex":[0.998966,0.00001700452,0.0002535666,0.0001866884,0.0002973494,0.0002793582],"domain_scores_gemma":[0.9981965,0.000221036,0.0003902924,0.0001137572,0.0006942452,0.0003841406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008191597,0.001861107,0.08450094,0.006995163,0.002387566,0.000004476216,0.09279363,0.06481133,0.01108953,0.08783663,0.5829004,0.06473732],"study_design_scores_gemma":[0.001238796,0.0001194673,0.04824662,0.001187281,0.0006257494,0.0001384765,0.03725739,0.02985537,0.006272394,0.001011257,0.8724566,0.001590676],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4483344,0.1473277,0.0006958016,0.2526792,0.05691588,0.005896853,0.000109998,0.001761671,0.08627853],"genre_scores_gemma":[0.9914449,0.00310739,0.003013921,0.0001147191,0.0002814229,0.00009899506,0.000007266914,0.00005080484,0.001880532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5431105,"threshold_uncertainty_score":0.7684629,"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."}}