{"id":"W2127664341","doi":"10.24908/pceea.v0i0.3682","title":"DEVELOPMENT OF PROCESSES AND CRITERIA FOR CEAB GRADUATE ATTRIBUTE ASSESSMENT","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":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Accreditation; Engineering management; Process (computing); Medical education; Engineering education; Engineering; Computer science; Engineering ethics; Software engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003597695,0.000159788,0.00018082,0.0002274177,0.00009488768,0.00003576422,0.0001875158,0.00009313634,0.00001598798],"category_scores_gemma":[0.000292759,0.0001602236,0.00003899435,0.0003777338,0.0000113233,0.000151151,0.00001647381,0.0001105971,0.000001044992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009442464,"about_ca_system_score_gemma":0.0008233537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002246075,"about_ca_topic_score_gemma":0.0006810408,"domain_scores_codex":[0.9990325,0.000001966584,0.0003718738,0.0001378267,0.0002037546,0.000252094],"domain_scores_gemma":[0.9989157,0.00002724952,0.0001671611,0.00006792662,0.0006677705,0.0001542223],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002923089,0.001479765,0.3132689,0.0483615,0.003431694,3.37463e-7,0.1701675,0.003841817,0.09819546,0.08573473,0.2423432,0.03314581],"study_design_scores_gemma":[0.0005855199,0.00003577167,0.8388128,0.0008117576,0.0001273474,0.000006006245,0.002342694,0.005204772,0.0951353,0.0004065058,0.05556924,0.0009622666],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901564,0.000223026,0.001346392,0.0005120541,0.002660127,0.000911903,0.00005376564,0.0002137333,0.003922637],"genre_scores_gemma":[0.9566446,0.00001525073,0.04273658,0.00002667973,0.0000514588,0.0002010395,0.00001346993,0.00003562111,0.0002753135],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5255439,"threshold_uncertainty_score":0.6533727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02989427922394081,"score_gpt":0.2445258657472888,"score_spread":0.214631586523348,"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."}}