{"id":"W4412870784","doi":"10.24908/pceea.2025.19678","title":"Artificial Intelligence (AI), Sustainability and Engineering Education: Implementation trends in STEM to realize Society 5.0.","year":2025,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Sustainability in Higher Education","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Polytechnique Montréal","keywords":"Sustainability; Engineering ethics; Engineering management; Engineering; Computer science; Political science; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006204878,0.0002289046,0.0002793571,0.01238001,0.00152358,0.008205373,0.0005288377,0.001275697,0.004895477],"category_scores_gemma":[0.0126853,0.0001295924,0.0002997275,0.03035299,0.002634879,0.006102714,0.002752102,0.001529415,0.0004865862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007957834,"about_ca_system_score_gemma":0.01729385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0130389,"about_ca_topic_score_gemma":0.0217422,"domain_scores_codex":[0.9956852,0.0008516309,0.0005439675,0.0004591944,0.002036375,0.000423661],"domain_scores_gemma":[0.980279,0.01018327,0.002470908,0.0004021297,0.005125555,0.001539193],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00006631557,0.0001055915,0.0395938,0.005530692,0.00005733499,0.0002031704,0.008538418,0.0006010263,0.001479562,0.2335402,0.01553314,0.6947507],"study_design_scores_gemma":[0.00001145472,0.0002447023,0.2005522,0.00883283,0.00009969391,0.0007002003,0.03603693,0.001146082,0.002624165,0.04301583,0.7066696,0.00006623039],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2294542,0.2501618,0.01029873,0.09167025,0.001170887,0.0002378103,0.001490232,0.0002445514,0.4152716],"genre_scores_gemma":[0.833458,0.1343733,0.01169096,0.006048493,0.0004634558,0.0001554545,0.001048491,0.00005695218,0.01270484],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0130389,"threshold_uncertainty_score":0.05773836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009869537637383591,"score_gpt":0.3252709773836961,"score_spread":0.3154014397463125,"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."}}