{"id":"W4391641664","doi":"10.18260/1-2--42168","title":"Embedding Environmental Ethics in Engineering Courses","year":2024,"lang":"en","type":"article","venue":"","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Embedding; Computer science; Engineering ethics; Engineering; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0001030563,0.00007857673,0.00005606438,0.0001122343,0.000007698553,0.00002752029,0.00004539629,0.0000922969,0.0001647525],"category_scores_gemma":[0.00001122759,0.00007492763,0.00001935909,0.0001203378,0.000009186414,0.00008249442,0.00000844633,0.0003412456,0.0001021025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000868143,"about_ca_system_score_gemma":0.000008032699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000490938,"about_ca_topic_score_gemma":0.000001425494,"domain_scores_codex":[0.9995782,0.000002398136,0.00009440989,0.00008543489,0.00009105307,0.0001485242],"domain_scores_gemma":[0.9998245,0.00007039903,0.000001204387,0.00005606222,8.122556e-7,0.00004697205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001512844,0.00005914121,0.0004961244,0.003537261,0.00008387867,0.00007765644,0.004571656,0.8654231,0.07905207,0.005743166,0.009140437,0.03181394],"study_design_scores_gemma":[0.00003316008,0.000004076156,0.000845517,0.0001365531,0.000002898854,0.000007884468,0.00007358743,0.9711848,0.001493661,0.00003915081,0.02605621,0.000122455],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8348345,0.009277485,0.1388052,0.00133195,0.007205689,0.0001748673,0.00001475229,0.003761732,0.004593842],"genre_scores_gemma":[0.9983158,0.0002016741,0.001116855,0.00001855838,0.0001279391,0.00001014585,0.000008286042,0.00002384144,0.0001769243],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1634812,"threshold_uncertainty_score":0.305546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009696460545909301,"score_gpt":0.2414239577430761,"score_spread":0.2317274971971668,"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."}}