{"id":"W4308709919","doi":"10.24908/pceea.vi.15975","title":"Exploring Virtual Methods for Teaching Engineering Teamwork","year":2022,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Experimental Learning in Engineering","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Government of Ontario","keywords":"Teamwork; Experiential learning; Soft skills; Implementation; Computer science; Key (lock); Engineering education; Engineering management; Knowledge management; Engineering; Mathematics education; Software engineering; Psychology; Management","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":[0.003079898,0.0006766553,0.0003217364,0.001301658,0.00125055,0.004090416,0.001863753,0.0008330894,0.007358243],"category_scores_gemma":[0.003796861,0.0003341651,0.0005376237,0.0007708311,0.002175213,0.00211572,0.004665045,0.001121878,0.0008696335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001254383,"about_ca_system_score_gemma":0.001790235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001015817,"about_ca_topic_score_gemma":0.002168651,"domain_scores_codex":[0.9972916,0.001741436,0.00006325148,0.0001727927,0.0005584056,0.0001724107],"domain_scores_gemma":[0.997095,0.002082197,0.0001203038,0.0002766258,0.0001537389,0.0002722116],"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":[0.0003863439,0.001811726,0.003131038,0.001665423,0.00007097838,0.0004299085,0.02115788,0.01330932,0.02331027,0.2387507,0.006440634,0.6895357],"study_design_scores_gemma":[0.0008861175,0.003880605,0.007405624,0.002197667,0.000146562,0.002098892,0.02250468,0.05475401,0.03307697,0.2162412,0.6565312,0.0002764941],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1234381,0.004587089,0.7574142,0.001420032,0.000516333,0.00105006,0.00008611871,0.000672106,0.1108159],"genre_scores_gemma":[0.4517585,0.003079477,0.5207273,0.0002896592,0.00008983674,0.001924213,0.00009325557,0.0001457121,0.02189207],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007358243,"threshold_uncertainty_score":0.02461582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01593175557075822,"score_gpt":0.25122677214473,"score_spread":0.2352950165739718,"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."}}