{"id":"W2104834053","doi":"10.24908/pceea.v0i0.3667","title":"USING DESIGN CASE STUDIES TO PROMOTE GROUP LEARNING AND FOSTER TEAMWORK SKILLS","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Engineering Education and Pedagogy","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Teamwork; Class (philosophy); Group work; Work (physics); Engineering design process; Term (time); Engineering education; Engineering management; Mathematics education; Computer science; Engineering; Psychology; Medical education; Medicine; Management; Mechanical engineering; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004494163,0.0001988315,0.0001988529,0.0003663414,0.0001651694,0.00006279034,0.0001386608,0.0001310674,0.00001945811],"category_scores_gemma":[0.0007338455,0.0002041908,0.00004693193,0.0004811818,0.00001335184,0.000195436,0.00002773143,0.0002558784,0.000006171194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001228843,"about_ca_system_score_gemma":0.0001435896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009459477,"about_ca_topic_score_gemma":0.0009282246,"domain_scores_codex":[0.999045,0.000008546766,0.0002722318,0.0001801991,0.0001563996,0.000337651],"domain_scores_gemma":[0.999177,0.000052708,0.0001074137,0.00008000257,0.0003160115,0.0002669102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002982117,0.0006218022,0.2531199,0.006445699,0.003300774,0.00002361087,0.3035783,0.2088114,0.0798567,0.01576177,0.09256042,0.03588971],"study_design_scores_gemma":[0.003277385,0.0007965428,0.1915377,0.006762315,0.002082834,0.003438706,0.04031643,0.2541513,0.1217402,0.002930525,0.3627136,0.01025248],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919052,0.0006241802,0.001158753,0.0004589937,0.002915469,0.0007850887,0.000008696155,0.0003425345,0.001801062],"genre_scores_gemma":[0.975929,0.0000319006,0.02294635,0.00009984481,0.0001608974,0.00006323083,0.000001330575,0.00006664206,0.0007008195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2701532,"threshold_uncertainty_score":0.8326659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03307637890890282,"score_gpt":0.265242422646631,"score_spread":0.2321660437377282,"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."}}