{"id":"W1930413844","doi":"10.24908/pceea.v0i0.3647","title":"ASSESSING CEAB GRADUATE ATTRIBUTES AT RYERSON UNIVERSITY: FRAMEWORK AND INGREDIENTS FOR SUCCESS","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Engineering Education and Curriculum Development","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Accreditation; Engineering management; Process (computing); Graduate students; Engineering; Computer science; Software engineering; Medical education; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0331439,0.0009052223,0.001115542,0.01313225,0.005653951,0.0112886,0.001712778,0.001718986,0.001982946],"category_scores_gemma":[0.04364007,0.0006216822,0.0009765849,0.006614268,0.005622912,0.004308074,0.00967499,0.002511293,0.0008106882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01812573,"about_ca_system_score_gemma":0.04697197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07004622,"about_ca_topic_score_gemma":0.1124624,"domain_scores_codex":[0.9680603,0.009681298,0.0026106,0.001567138,0.01555678,0.002523995],"domain_scores_gemma":[0.9452974,0.01092672,0.004946413,0.002095835,0.03054533,0.006188338],"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":[0.000148047,0.001115957,0.3016612,0.0008670532,0.00007640834,0.0002536157,0.02555764,0.004079128,0.004415231,0.1630756,0.0189608,0.4797893],"study_design_scores_gemma":[0.00009639831,0.001347542,0.647431,0.002362874,0.0001730316,0.0005047651,0.06161451,0.02602913,0.0107219,0.08280705,0.1662861,0.0006256445],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4010822,0.002386312,0.3113615,0.02985435,0.0003003525,0.01021283,0.002298832,0.002129412,0.2403743],"genre_scores_gemma":[0.6103724,0.0005841064,0.3779551,0.0004308172,0.00004298291,0.002333074,0.001219741,0.0001233894,0.006938305],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07004622,"threshold_uncertainty_score":0.1752837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0234094993577894,"score_gpt":0.2100861028142984,"score_spread":0.186676603456509,"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."}}