{"id":"W1864598778","doi":"10.24908/pceea.v0i0.4001","title":"ENHANCING AND TESTING ELECTRICAL ENGINEERING DESIGN SKILLS","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Engineering Education and Pedagogy","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Test (biology); Engineering; Systems engineering; Computer science; Engineering management; Geology","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":[0.002379996,0.0005963825,0.0003085898,0.0005814889,0.000600971,0.0007624577,0.0008424729,0.0007382259,0.008671779],"category_scores_gemma":[0.005554988,0.0002019921,0.0003277893,0.0004092874,0.0003987607,0.0006847144,0.0008832457,0.0008786861,0.002396951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003890781,"about_ca_system_score_gemma":0.0009699312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009839367,"about_ca_topic_score_gemma":0.0022887,"domain_scores_codex":[0.9986156,0.0004484229,0.00006872939,0.0001521966,0.0005393266,0.0001758306],"domain_scores_gemma":[0.9965784,0.001685292,0.0001144624,0.0004146119,0.0006789773,0.0005283792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000169279,0.004130053,0.008345478,0.000376116,0.00001544062,0.0006734781,0.003915149,0.003851064,0.1045697,0.002296468,0.004526559,0.8671312],"study_design_scores_gemma":[0.0002261166,0.02107626,0.07877588,0.0007907885,0.0001239877,0.01350117,0.008433967,0.01975587,0.3189598,0.009798891,0.5283281,0.0002290512],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7487443,0.001748073,0.1374308,0.0008679428,0.0002160044,0.0009241309,0.0001828813,0.001775178,0.1081106],"genre_scores_gemma":[0.7458723,0.002437096,0.1767724,0.0006475082,0.00006782092,0.0002667058,0.0002800651,0.0002208341,0.0734353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008671779,"threshold_uncertainty_score":0.02901006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01309022829254882,"score_gpt":0.1939991042919763,"score_spread":0.1809088759994274,"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."}}