{"id":"W2886060986","doi":"10.24908/pceea.v0i0.9414","title":"TEAMWORK FOR ENGINEERING STUDENTS: IMPROVING SKILLS THROUGH EXPERIENTIAL TEACHING MODULES","year":2018,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"University of Waterloo","keywords":"Teamwork; Curriculum; Experiential learning; Medical education; Psychology; Computer science; Engineering; Mathematics education; Pedagogy; Medicine; Management","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004802601,0.0002716646,0.0002381313,0.0002739584,0.0002582191,0.0001827414,0.0005301454,0.0002601059,0.00002153867],"category_scores_gemma":[0.001122386,0.0002761619,0.0001335699,0.0004440958,0.00002778974,0.0004090666,0.00003995846,0.0003423087,0.000009574742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001914773,"about_ca_system_score_gemma":0.0001878085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00133917,"about_ca_topic_score_gemma":0.0004376535,"domain_scores_codex":[0.9983337,0.000003908716,0.000417825,0.0002636336,0.0004162568,0.0005647078],"domain_scores_gemma":[0.9989749,0.00006982542,0.0001556769,0.0001627279,0.0003987468,0.0002381651],"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":[0.00003456384,0.001320679,0.05170407,0.01222557,0.002338904,4.539624e-7,0.05990587,0.03161754,0.1961028,0.074468,0.5061306,0.06415098],"study_design_scores_gemma":[0.001331578,0.0001562479,0.07455339,0.001615605,0.0003082483,0.00001466221,0.001603938,0.1125577,0.05409743,0.0007405743,0.750843,0.002177565],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.959087,0.0004451993,0.0135873,0.001794061,0.01993495,0.001447201,0.00008801173,0.001087889,0.002528409],"genre_scores_gemma":[0.9813313,0.00001089475,0.0157073,0.0001192209,0.001691422,0.0002363174,0.00001903063,0.0001031024,0.0007813527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2447124,"threshold_uncertainty_score":0.9999691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003132360968481741,"score_gpt":0.2134321892995701,"score_spread":0.2102998283310884,"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."}}