{"id":"W3182574432","doi":"10.24908/pceea.vi0.14873","title":"IMPROVING ENGINEERING EDUCATION: TWO KEY AREAS TO FOCUS OUR ATTENTION","year":2021,"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":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Rigour; Pace; Engineering education; Diversity (politics); Rank (graph theory); Mathematics education; Key (lock); Psychology; Medical education; Pedagogy; Engineering; Engineering ethics; Computer science; Sociology; Medicine; Engineering management; Mathematics","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":[0.0003392807,0.0003204399,0.0002669636,0.0005185027,0.0001526011,0.0002371923,0.0003750234,0.0001777961,0.00003722913],"category_scores_gemma":[0.0009703746,0.0003687002,0.0001440387,0.00137572,0.000004268586,0.0003150001,0.00004740357,0.0003644628,0.00005236216],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004028321,"about_ca_system_score_gemma":0.00163483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001714086,"about_ca_topic_score_gemma":0.002206969,"domain_scores_codex":[0.9981639,0.000006486786,0.0005000455,0.0003307645,0.0004545047,0.0005443183],"domain_scores_gemma":[0.9980273,0.00002586827,0.0001666082,0.0002277669,0.001035879,0.0005165674],"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":[0.000006996494,0.0007501306,0.1077365,0.004540163,0.001053617,0.000002124217,0.008193255,0.1639822,0.1819004,0.05053474,0.442345,0.03895496],"study_design_scores_gemma":[0.001195248,0.00004728345,0.4923627,0.002537515,0.0003793385,0.0001258532,0.004913961,0.05019521,0.08680946,0.0002973908,0.3576172,0.003518799],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9315747,0.001526559,0.001898331,0.01798991,0.02932564,0.001681469,0.00007234707,0.001477902,0.01445312],"genre_scores_gemma":[0.9868868,0.00001713223,0.008047945,0.0002697241,0.0006252002,0.0002537641,0.00003185113,0.000106641,0.003760913],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3846262,"threshold_uncertainty_score":0.9998765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003411648421436429,"score_gpt":0.1926496362410708,"score_spread":0.1892379878196344,"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."}}