{"id":"W2605069689","doi":"10.24908/pceea.v0i0.6539","title":"Educating Aerospace Design Engineers: Perspectives from Design Creativity Theory","year":2017,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Engineering Education and Curriculum Development","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Aerospace; Creativity; Government (linguistics); Engineering management; Engineering; Process (computing); Engineering design process; Engineering education; Engineering ethics; Manufacturing engineering; Computer science; Mechanical engineering; Political science; Aerospace engineering","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":[0.01146244,0.0006773281,0.0005627225,0.002385431,0.003176141,0.01009006,0.001830281,0.00411302,0.002659266],"category_scores_gemma":[0.006534948,0.0003726222,0.0005763414,0.001257477,0.01666544,0.006406956,0.0031295,0.005712696,0.0004794382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004491586,"about_ca_system_score_gemma":0.004555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002022545,"about_ca_topic_score_gemma":0.002349764,"domain_scores_codex":[0.9921175,0.00574709,0.0001610685,0.000308627,0.001210654,0.0004551734],"domain_scores_gemma":[0.9841123,0.01417967,0.0003904235,0.0002640187,0.0005325019,0.0005210224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002488349,0.0003749143,0.002108554,0.0003714934,0.0000117761,0.0005719271,0.04516205,0.001866372,0.0003976835,0.8927853,0.004175606,0.05214939],"study_design_scores_gemma":[0.00008548501,0.000231844,0.001737116,0.001224309,0.00001679775,0.001053132,0.08646744,0.008569764,0.0009453988,0.7673285,0.1322865,0.00005359094],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1378177,0.03921643,0.1249205,0.156949,0.001126133,0.0001671669,0.00005300273,0.00009449118,0.5396556],"genre_scores_gemma":[0.943266,0.01544797,0.02278853,0.007549654,0.0004464096,0.0001983184,0.00002781192,0.00002601207,0.01024931],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01146244,"threshold_uncertainty_score":0.06061989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01063742306174504,"score_gpt":0.2114325136588327,"score_spread":0.2007950905970876,"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."}}