{"id":"W1806746678","doi":"10.24908/pceea.v0i0.5781","title":"AN EXPLORATION OF COMMUNICATION AND KNOWLEDGE APPLICATION IN MULTIDISCIPLINARY UNDERGRADUATE ENGINEERING CAPSTONE DESIGN TEAMS","year":2015,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Design Education and Practice","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto","keywords":"Capstone; Multidisciplinary approach; Capstone course; Teamwork; Multidisciplinary team; Computer science; Engineering education; Work (physics); Knowledge sharing; Knowledge management; Engineering management; Engineering; Sociology; Medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001077272,0.0001577085,0.0001798853,0.0004456115,0.00006411948,0.00006018317,0.0002603979,0.0001492186,0.0000016368],"category_scores_gemma":[0.0005921765,0.0001774866,0.00002846969,0.0007152882,0.00001794143,0.001226112,0.00001942452,0.000235015,0.000004329095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001624926,"about_ca_system_score_gemma":0.0005440198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003560019,"about_ca_topic_score_gemma":0.003958437,"domain_scores_codex":[0.9990239,0.00002807282,0.0003855016,0.0001570992,0.0002000687,0.0002053868],"domain_scores_gemma":[0.9987734,0.0001102248,0.0002342068,0.0001797178,0.0004846801,0.0002177503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003446483,0.0007188439,0.07131585,0.00120314,0.0002031083,1.242282e-7,0.04650332,0.7433886,0.06327477,0.04905924,0.01279011,0.01150844],"study_design_scores_gemma":[0.0009898418,0.00008433239,0.1182966,0.000444125,0.0001118875,0.000008268711,0.005527987,0.8446072,0.01684325,0.002936529,0.009333456,0.000816494],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9624513,0.002039003,0.01799526,0.006095546,0.002315952,0.002585387,0.00003042173,0.0004966484,0.005990516],"genre_scores_gemma":[0.9935187,0.0000675696,0.006003086,0.00001501772,0.00005590733,0.0001401171,0.00002012549,0.00004122336,0.0001383201],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1012187,"threshold_uncertainty_score":0.7237693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02428981872828496,"score_gpt":0.2631867957780498,"score_spread":0.2388969770497649,"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."}}