{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001677866,0.0002249284,0.0001889407,0.0006180478,0.0003043556,0.0001693908,0.0005532943,0.0001412335,0.00003652103],"category_scores_gemma":[0.003000811,0.0002457858,0.00008200572,0.001184642,0.00002856028,0.0007513548,0.00001889644,0.0002445127,0.000007932601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003056078,"about_ca_system_score_gemma":0.001985937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001355371,"about_ca_topic_score_gemma":0.00009032455,"domain_scores_codex":[0.9984831,0.000008619567,0.0003741639,0.0002406519,0.0003294938,0.0005639953],"domain_scores_gemma":[0.9981838,0.0001999992,0.0002570346,0.0001565999,0.0008820913,0.0003204349],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003877435,0.0004896946,0.01452001,0.002313031,0.0007249979,2.978942e-7,0.03207221,0.367643,0.4249588,0.05773604,0.08801137,0.01149174],"study_design_scores_gemma":[0.0005165219,0.00007323807,0.02354122,0.00053524,0.0003181883,0.00003627904,0.001622766,0.6980485,0.2401143,0.0008942641,0.03281492,0.001484591],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3858969,0.001773246,0.492184,0.004012465,0.05808573,0.0125949,0.0001181048,0.003025443,0.04230923],"genre_scores_gemma":[0.8522651,0.000007218185,0.1467906,0.00009773049,0.0002422459,0.0001534965,0.000001645008,0.00007934339,0.0003626723],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4663682,"threshold_uncertainty_score":0.9999995,"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."}}