{"id":"W1910621573","doi":"10.24908/pceea.v0i0.4003","title":"EDUCATING FOR ENGINEERING DESIGN USING DESIGN SCIENCE","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Design Education and Practice","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Scope (computer science); Computer science; Product (mathematics); Product design; Object (grammar); Engineering design process; Engineering education; Design education; Mathematics education; Engineering ethics; Software engineering; Engineering management; Systems engineering; Engineering; Psychology; Artificial intelligence; Mathematics; Mechanical engineering; Programming language","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002525482,0.000674571,0.0004030101,0.001920264,0.001345861,0.003033013,0.0008312763,0.001726264,0.0153972],"category_scores_gemma":[0.004121584,0.0003738125,0.0004928502,0.001076983,0.002479585,0.002246638,0.002282436,0.00373116,0.005561342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002278065,"about_ca_system_score_gemma":0.004381157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00355282,"about_ca_topic_score_gemma":0.00648594,"domain_scores_codex":[0.9979975,0.0006472227,0.0001178809,0.0001449919,0.0009191391,0.0001732161],"domain_scores_gemma":[0.998477,0.0008640458,0.00008387612,0.0001709357,0.0002539559,0.0001500379],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001312999,0.0003979999,0.001102727,0.0008886012,0.00001433556,0.0002929838,0.007567147,0.004124441,0.004976733,0.4154379,0.07299955,0.4921845],"study_design_scores_gemma":[0.000006566909,0.00006766219,0.0006023617,0.0005053785,0.000003817814,0.0005202728,0.0009197915,0.0009948723,0.001089472,0.08243237,0.9128366,0.00002078175],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006783682,0.01147784,0.4815125,0.02781733,0.00117058,0.0007962055,0.000225283,0.001098956,0.4691177],"genre_scores_gemma":[0.09040783,0.03047675,0.5438895,0.01732328,0.0006482151,0.001063715,0.0004169502,0.0002680119,0.3155056],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0153972,"threshold_uncertainty_score":0.05150872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04416945092151395,"score_gpt":0.2352983024987239,"score_spread":0.1911288515772099,"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."}}