{"id":"W3036758339","doi":"10.24908/pceea.vi0.14168","title":"WHAT IS ENGINEERING SCIENCE? DEFINING A DISCIPLINE THROUGH A CROSS-INSTITUTIONAL COMPARISON AND A MULTI-INSTITUTIONAL WORKSHOP","year":2020,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of Toronto; Eli and Edythe Broad Foundation","keywords":"Curriculum; Discipline; Engineering ethics; Diversity (politics); Documentation; Multidisciplinary approach; Plan (archaeology); Globe; Process (computing); Cross disciplinary; Sociology; Mathematics education; Engineering; Pedagogy; Computer science; Psychology; Data science; Social science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.06896931,0.0005027604,0.0007179022,0.008983174,0.007954651,0.011507,0.002306132,0.001685578,0.001892983],"category_scores_gemma":[0.04590966,0.0004564725,0.0009030729,0.007722146,0.01031797,0.01248099,0.01862135,0.003773504,0.0002669007],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008512603,"about_ca_system_score_gemma":0.007032453,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003529374,"about_ca_topic_score_gemma":0.006166958,"domain_scores_codex":[0.9616206,0.02781653,0.002313945,0.001680723,0.003711771,0.002856507],"domain_scores_gemma":[0.9550173,0.02452311,0.004420064,0.003457949,0.009082098,0.003499496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002213619,0.0009047121,0.03182548,0.0004730816,0.00006533891,0.0007027916,0.8963931,0.0002132995,0.002633652,0.0206171,0.001554499,0.04439554],"study_design_scores_gemma":[0.00001939204,0.0003218027,0.02401106,0.0002794165,0.00002246497,0.0001280535,0.9615759,0.0002375836,0.001005603,0.002041203,0.01032075,0.00003685982],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.979789,0.0009003888,0.005123037,0.002860775,0.0002006219,0.0006276993,0.00007900321,0.00002154015,0.01039804],"genre_scores_gemma":[0.9923514,0.0007286752,0.003975239,0.0005908555,0.00005932486,0.0006927665,0.000114237,0.00002261505,0.001464975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9964706,"threshold_uncertainty_score":0.364749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01682861946453862,"score_gpt":0.257813209876518,"score_spread":0.2409845904119793,"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."}}