{"id":"W4285481055","doi":"10.1109/isec52395.2021.9763945","title":"Supporting Inclusive Engineering Education using Global Virtual Teams","year":2021,"lang":"en","type":"article","venue":"","topic":"Knowledge Management and Sharing","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of Toronto","keywords":"Knowledge management; Teamwork; Engineering education; Multidisciplinary approach; Context (archaeology); Engineering; Work (physics); Engineering management; Computer science; Management; Political science; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.002575297,0.0003831073,0.0001807122,0.0006697499,0.00192468,0.004286386,0.000899902,0.0006311114,0.004561114],"category_scores_gemma":[0.006310793,0.0001888297,0.0002723358,0.0003525809,0.0008200481,0.00352484,0.01136507,0.001094189,0.0008380365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004189298,"about_ca_system_score_gemma":0.002678216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004479143,"about_ca_topic_score_gemma":0.001251373,"domain_scores_codex":[0.9981669,0.001002474,0.00004813469,0.0001319157,0.000247307,0.0004031491],"domain_scores_gemma":[0.9960086,0.001263967,0.0003258211,0.0003874834,0.0002591039,0.001755001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001983315,0.007017631,0.06105775,0.0005966834,0.00007509679,0.001390023,0.06002303,0.006615587,0.01466351,0.03014332,0.01054322,0.8076759],"study_design_scores_gemma":[0.0004599531,0.006130615,0.1457648,0.002144697,0.0002022284,0.002483395,0.2200687,0.03601455,0.02890608,0.1309191,0.4266599,0.0002459316],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9098438,0.0001525347,0.03181355,0.001422626,0.00007723878,0.0002373622,0.00002171476,0.0001984501,0.05623265],"genre_scores_gemma":[0.9831149,0.000144956,0.01292294,0.0001621344,0.00001444028,0.0001237444,0.00002646365,0.00001686836,0.003473578],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004561114,"threshold_uncertainty_score":0.01525849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01295955728601251,"score_gpt":0.3508698770245402,"score_spread":0.3379103197385277,"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."}}