{"id":"W1932761522","doi":"10.24908/pceea.v0i0.5763","title":"Evolution of graduate attribute assessment and continuous program improvement in the Faculty of Engineering at McGill University","year":2015,"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":"McGill University","funders":"","keywords":"Process (computing); Engineering management; Resource (disambiguation); Computer science; Knowledge management; Process management; Engineering; Engineering ethics","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.05873461,0.0006159486,0.0004371631,0.005717421,0.004104714,0.01072739,0.004206712,0.001897028,0.001454048],"category_scores_gemma":[0.09445535,0.0008644335,0.0005349791,0.005142564,0.004662661,0.003006656,0.006212445,0.002657335,0.000491998],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04726894,"about_ca_system_score_gemma":0.1104726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.169015,"about_ca_topic_score_gemma":0.1890464,"domain_scores_codex":[0.9438711,0.02366853,0.00262001,0.00388359,0.0201061,0.005850727],"domain_scores_gemma":[0.895241,0.01965209,0.009998303,0.00689994,0.04404104,0.02416767],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002589639,0.001289343,0.1115855,0.000513997,0.00005619212,0.0002774692,0.02679925,0.003753975,0.008117729,0.01627212,0.009128635,0.8219468],"study_design_scores_gemma":[0.0002064358,0.004869054,0.7081278,0.001221669,0.0001192726,0.000950309,0.03731761,0.01543095,0.02665833,0.007683663,0.196617,0.0007978518],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8441237,0.00334374,0.05661895,0.03128858,0.0005288143,0.002650077,0.0004382713,0.002927927,0.05807998],"genre_scores_gemma":[0.9007062,0.0005284608,0.09005171,0.001437097,0.0000625272,0.0004335867,0.0002055203,0.000146955,0.006427921],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9527311,"threshold_uncertainty_score":0.3429618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0141716855229017,"score_gpt":0.2242848513383242,"score_spread":0.2101131658154225,"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."}}