{"id":"W3175307298","doi":"10.24908/pceea.vi0.14967","title":"THE EPISTEMIC ROLE OF DESIGN EDUCATION IN AN ENGINEERING SCIENCE DEPARTMENT","year":2021,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Interdisciplinary Research and Collaboration","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of Toronto","keywords":"Coursework; Discipline; Curriculum; Engineering ethics; Engineering education; Next Generation Science Standards; Space (punctuation); Science education; Pedagogy; Engineering; Mathematics education; Sociology; Psychology; Computer science; Engineering management","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.01496344,0.0003225503,0.0003257878,0.001113844,0.0115624,0.009573943,0.001291252,0.00219041,0.002644404],"category_scores_gemma":[0.02634227,0.0003823776,0.0002343846,0.0004099884,0.01752204,0.004773813,0.007121462,0.004793965,0.000343183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005129189,"about_ca_system_score_gemma":0.008061557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001969209,"about_ca_topic_score_gemma":0.003930655,"domain_scores_codex":[0.9784927,0.01730195,0.0004083811,0.000710304,0.001487629,0.00159908],"domain_scores_gemma":[0.9504188,0.03745089,0.002991287,0.001586476,0.002366297,0.005186319],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001121933,0.0005412633,0.01354084,0.0001473719,0.000009053827,0.001021048,0.9066181,0.0002545977,0.002956968,0.04213643,0.001441176,0.03122099],"study_design_scores_gemma":[0.00003798554,0.0002805956,0.004982294,0.0003278807,0.0000177549,0.001274112,0.8940684,0.0009786161,0.003176083,0.01645458,0.07833385,0.00006786162],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9109807,0.0005243986,0.01527523,0.008219066,0.0001248178,0.0001099408,0.00001415323,0.00006186712,0.06468982],"genre_scores_gemma":[0.9964443,0.00008319919,0.001229665,0.0002965174,0.000007867098,0.00002147375,0.000002965618,0.000006013322,0.001908058],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9884376,"threshold_uncertainty_score":0.07913512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01889105822677729,"score_gpt":0.3182131879522621,"score_spread":0.2993221297254848,"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."}}