{"id":"W2047083482","doi":"10.4018/ijqaete.2012040105","title":"CDIO as an Enabler for Graduate Attributes Assessment","year":2012,"lang":"en","type":"article","venue":"International Journal of Quality Assurance in Engineering and Technology Education","topic":"Engineering Education and Curriculum Development","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"CDIO; Accreditation; Enabling; Curriculum; Engineering education; Engineering management; Process (computing); Engineering; Continuous assessment; Computer science; Medical education; Mathematics education; Psychology; Pedagogy; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006236933,0.0001143635,0.0001636103,0.0004898207,0.00001674392,0.00002919762,0.0001808919,0.00009433026,0.000006136325],"category_scores_gemma":[0.0002386387,0.0001192422,0.00002905119,0.0001944762,0.00001523781,0.0003713465,0.00001043792,0.0002279923,0.000001522844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002124529,"about_ca_system_score_gemma":0.000111304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006468375,"about_ca_topic_score_gemma":0.000002267297,"domain_scores_codex":[0.9991441,0.00001197972,0.0004081738,0.00007913996,0.0001757805,0.000180874],"domain_scores_gemma":[0.9993585,0.00008683825,0.00008965475,0.0000865058,0.0003026043,0.00007583638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006057015,0.002616686,0.3622837,0.00110703,0.0009688896,0.000007468589,0.005572507,0.1425474,0.04074552,0.1803908,0.006780416,0.256919],"study_design_scores_gemma":[0.00220531,0.000214919,0.8677614,0.001010133,0.00005708416,0.0006302723,0.004074262,0.02317874,0.02099941,0.007652466,0.07100605,0.001210003],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9691535,0.0008967332,0.02346619,0.002045096,0.004153845,0.0001023452,0.000004512794,0.00009818445,0.000079629],"genre_scores_gemma":[0.9816199,0.0002337603,0.01770961,0.00003599664,0.000292287,0.00005490392,0.00001276425,0.00001647353,0.00002428457],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5054777,"threshold_uncertainty_score":0.4862554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02791953855007621,"score_gpt":0.3473239409420266,"score_spread":0.3194044023919503,"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."}}