{"id":"W4308912727","doi":"10.24908/pceea.vi.15829","title":"Education 4.0: Integrating Codes, Standards, and Regulations in the Chemical Engineering Curriculum","year":2022,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Curriculum; Engineering education; Engineering management; Leverage (statistics); Engineering; Process (computing); Discipline; Knowledge management; Computer science; Pedagogy","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":[0.0007075733,0.0001534246,0.0001364163,0.0003334716,0.0001786443,0.0001597733,0.0003271782,0.00009420683,0.00002304565],"category_scores_gemma":[0.0005837612,0.0001484864,0.00005044031,0.0009077823,0.00001369602,0.0003613317,0.00002639816,0.0005424448,8.238056e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003167414,"about_ca_system_score_gemma":0.000608516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001518676,"about_ca_topic_score_gemma":0.000612153,"domain_scores_codex":[0.9987514,0.000008620898,0.0003589906,0.0001338807,0.0004865348,0.0002605969],"domain_scores_gemma":[0.9993536,0.00006567245,0.0001233046,0.0000998658,0.0002580374,0.00009946885],"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":[0.000006249274,0.0004658129,0.1561739,0.001840035,0.0002819857,4.037143e-7,0.02694827,0.2335066,0.009625728,0.2743088,0.2830516,0.01379053],"study_design_scores_gemma":[0.001135475,0.00006845207,0.1473919,0.001164571,0.0002051155,0.000143372,0.03693565,0.2459582,0.005317128,0.002210995,0.5573336,0.002135487],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9740639,0.0003645612,0.00007416471,0.004691911,0.002332483,0.0009052224,0.0001960896,0.0002208992,0.01715075],"genre_scores_gemma":[0.9986967,0.000004931242,0.0005689851,0.0001055906,0.0001061195,0.000276889,0.00003131444,0.0000316919,0.0001777804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.274282,"threshold_uncertainty_score":0.8282677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003600106224335167,"score_gpt":0.1928800493172931,"score_spread":0.1892799430929579,"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."}}