{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000429819,0.000229929,0.0002076848,0.0004263218,0.0001051478,0.00007328822,0.0002493486,0.0001928592,0.00002810062],"category_scores_gemma":[0.001495378,0.0002469325,0.00005544647,0.0007470576,0.00001146236,0.0002315751,0.00001916078,0.0003450022,0.000008939549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001148293,"about_ca_system_score_gemma":0.0003426785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001392785,"about_ca_topic_score_gemma":0.000452138,"domain_scores_codex":[0.9987873,0.000005276069,0.0003481069,0.0001925332,0.0002161388,0.0004505949],"domain_scores_gemma":[0.9990149,0.0001371293,0.0001213434,0.0001103786,0.0003212102,0.0002950945],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001603294,0.0006311523,0.3486304,0.004731101,0.001464607,0.000002388787,0.0366888,0.1399232,0.320443,0.057038,0.06169565,0.02873565],"study_design_scores_gemma":[0.000600638,0.00009405392,0.6420818,0.0008584238,0.0002286387,0.00007377756,0.0003945577,0.1730061,0.1544337,0.0004576947,0.02589956,0.001871112],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9684122,0.001474203,0.005343483,0.0007248271,0.007240918,0.001431906,0.00002567925,0.00165059,0.01369615],"genre_scores_gemma":[0.9764628,0.00002902336,0.02263064,0.00007157027,0.0001980598,0.00006777311,0.000002268964,0.00007848595,0.000459402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2934514,"threshold_uncertainty_score":0.9999983,"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."}}