{"id":"W3036829392","doi":"10.24908/pceea.vi0.14194","title":"TEAMWORK TRAINING AS A MEANS OF MASTERING MORE EQUITABLE, DIVERSE, AND INCLUSIVE PRACTICES IN ENGINEERING CURRICULA","year":2020,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Career Development and Diversity","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"McGill University","keywords":"Teamwork; Capstone; Equity (law); Curriculum; Inclusion (mineral); Diversity (politics); Medical education; Training (meteorology); Engineering management; Capstone course; Engineering education; Psychology; Engineering; Engineering ethics; Knowledge management; Mathematics education; Pedagogy; Computer science; Management; Sociology; Political science; Medicine; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005648758,0.00009214157,0.0001510449,0.0001911435,0.0001855153,0.00007246652,0.0002256922,0.00009586,0.00001973925],"category_scores_gemma":[0.004179276,0.0001035855,0.0000384448,0.0007109761,0.00002419599,0.0004355881,0.00009038078,0.0001586215,0.000001124723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00105824,"about_ca_system_score_gemma":0.0007502692,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02551723,"about_ca_topic_score_gemma":0.01217271,"domain_scores_codex":[0.9990476,0.000007246922,0.0001830391,0.0001464813,0.0003491967,0.0002664085],"domain_scores_gemma":[0.9990239,0.00007745959,0.0003827743,0.00003036935,0.0002881034,0.000197364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000008484769,0.00003104598,0.7068761,0.0004211693,0.00008975777,7.421702e-7,0.2672523,0.001736086,0.001677523,0.01731161,0.002808111,0.00178706],"study_design_scores_gemma":[0.001119851,0.00005328545,0.6186875,0.001323978,0.0002044995,0.000004053175,0.3126019,0.007324379,0.00129783,0.0003680013,0.05599325,0.001021572],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9819586,0.00008424298,0.000008271764,0.009949923,0.0004153563,0.0002836891,0.00001034728,0.0000370852,0.007252449],"genre_scores_gemma":[0.9988415,0.00002085716,0.000678651,0.0001449718,0.0001066556,0.000008391066,0.000001963607,0.000009448161,0.0001876103],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08818865,"threshold_uncertainty_score":0.9809719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02332626427326139,"score_gpt":0.2615768181660473,"score_spread":0.2382505538927859,"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."}}