{"id":"W1926629023","doi":"10.24908/pceea.v0i0.4902","title":"Engineering Education Research and Development at Queen’s University","year":2013,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Engineering Education and Curriculum Development","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Outreach; Engineering education; Multidisciplinary approach; Higher education; Process (computing); Engineering; Engineering ethics; Pedagogy; Medical education; Engineering management; Psychology; Sociology; Computer science; Political science; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003688729,0.0001923778,0.0001546374,0.0005868954,0.0002446556,0.0001162554,0.0002881792,0.0001707531,0.00009982422],"category_scores_gemma":[0.000277255,0.0002117235,0.00003440674,0.0006896243,0.00001842926,0.000297431,0.0000558018,0.000322185,0.00007992086],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006409636,"about_ca_system_score_gemma":0.0009682337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003283749,"about_ca_topic_score_gemma":0.0007717342,"domain_scores_codex":[0.9987101,0.000005784159,0.0002660717,0.0002154987,0.0003676059,0.0004349447],"domain_scores_gemma":[0.9986192,0.00005290653,0.0000845551,0.000119564,0.0007679173,0.0003558349],"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":[0.000004144354,0.0003845733,0.1623672,0.003404038,0.0005261465,2.855984e-7,0.01232866,0.01328209,0.01582248,0.03327727,0.7457038,0.01289934],"study_design_scores_gemma":[0.0001846622,0.00001027338,0.4716924,0.0003434209,0.00001801127,0.000006686114,0.001293732,0.003562244,0.006489087,0.00005846839,0.5157848,0.0005561803],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860646,0.000210347,0.00003683966,0.002579372,0.002544115,0.0007801674,0.000006977791,0.0003090694,0.007468516],"genre_scores_gemma":[0.9834425,0.0000463652,0.004275412,0.00005418674,0.0001292664,0.0001122444,0.00001557483,0.0000554811,0.01186895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3093252,"threshold_uncertainty_score":0.9974046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007002962700517895,"score_gpt":0.1936964564822514,"score_spread":0.1866934937817335,"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."}}