{"id":"W2127513912","doi":"10.24908/pceea.v0i0.3849","title":"IS ENGINEERING EDUCATION DELIVERING WHAT INDUSTRY REQUIRES","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Engineering Education and Curriculum Development","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Natural Sciences and Engineering Research Council of Canada","funders":"","keywords":"Curriculum; Construct (python library); Engineering education; Plan (archaeology); Health systems engineering; Engineering management; Engineering; Field (mathematics); Engineering design process; Engineering ethics; Computer science; Pedagogy; Psychology; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003101434,0.0003219619,0.0002359649,0.0005614623,0.0001331635,0.0002030517,0.0004896846,0.0004185095,0.0001778435],"category_scores_gemma":[0.0003172311,0.0003524482,0.0001223717,0.0008922823,0.00001426554,0.001100107,0.00003591626,0.0006047737,0.00003421294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002899816,"about_ca_system_score_gemma":0.0008989308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002326713,"about_ca_topic_score_gemma":0.0005486707,"domain_scores_codex":[0.9983453,0.000004161007,0.0004872126,0.0002657106,0.0003842895,0.000513389],"domain_scores_gemma":[0.9986497,0.0000247659,0.0001955909,0.0002048421,0.0005384273,0.0003866842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00001441258,0.001134916,0.3071541,0.008056254,0.00212777,0.000001306576,0.06807903,0.03580969,0.03342851,0.06798653,0.4313114,0.04489618],"study_design_scores_gemma":[0.0005722013,0.00004617685,0.6921525,0.003503327,0.0002719275,0.00004551131,0.00526271,0.02494082,0.06950019,0.0004950198,0.2005457,0.002663854],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9691367,0.001433632,0.0001024231,0.001481457,0.0134717,0.0007396638,0.00001884562,0.0007394283,0.01287617],"genre_scores_gemma":[0.9939952,0.0001451865,0.00334347,0.0003428321,0.0003095249,0.0001792497,0.00001097221,0.000101709,0.001571867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3849985,"threshold_uncertainty_score":0.9998928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009452267681282371,"score_gpt":0.1911158345397745,"score_spread":0.1816635668584921,"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."}}