{"id":"W2172141735","doi":"10.24908/pceea.v0i0.3143","title":"Engineering Graduate Attributes - Investigation","year":2010,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Engineering Education and Curriculum Development","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Accreditation; Process (computing); Context (archaeology); Curriculum; Meaning (existential); Engineering design process; Work in process; Component (thermodynamics); Work (physics); Element (criminal law); Engineering education; Engineering management; Engineering; Computer science; Engineering ethics; Psychology; Pedagogy; Medical education; Political science; Mechanical engineering; Operations management; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.0004331136,0.0002410466,0.0001875678,0.0004023582,0.0001233938,0.0001330737,0.0003712994,0.0002162537,0.00005402062],"category_scores_gemma":[0.0009058985,0.000251599,0.00009193624,0.0008404425,0.00001534445,0.000286456,0.00002096454,0.0005916748,0.00003545545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001254816,"about_ca_system_score_gemma":0.0004548006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009470089,"about_ca_topic_score_gemma":0.001682388,"domain_scores_codex":[0.9986371,0.00000264785,0.0003745404,0.000191352,0.0003805931,0.0004137328],"domain_scores_gemma":[0.9988271,0.00004690503,0.0001406475,0.0001518682,0.0004959079,0.0003375572],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000001988658,0.0001334696,0.1827255,0.001768353,0.000503052,3.309475e-7,0.005113648,0.06301115,0.2515877,0.05696184,0.4350727,0.003120327],"study_design_scores_gemma":[0.0003135041,0.00001138815,0.762164,0.0002964676,0.0000863032,0.00001797871,0.0002290836,0.0405032,0.06542354,0.0002981218,0.1296023,0.001054122],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863285,0.00006258866,0.00005205231,0.002457751,0.007934771,0.0003730647,0.00002190328,0.0005119293,0.002257375],"genre_scores_gemma":[0.9951982,0.00001234745,0.003215961,0.000106361,0.0003225442,0.0001125295,0.00002306027,0.00006829915,0.0009406838],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5794384,"threshold_uncertainty_score":0.9999936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007436529613137114,"score_gpt":0.1796289909203353,"score_spread":0.1721924613071982,"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."}}