{"id":"W1933638395","doi":"10.24908/pceea.v0i0.3681","title":"Information literacy in CEAB's accreditation criteria: the hidden attribute","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":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Accreditation; Information literacy; Computer science; Literacy; Artificial intelligence; Pedagogy; World Wide Web; Sociology; Medical education; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.01856433,0.0002458629,0.0004186556,0.002830781,0.003435233,0.01076439,0.001284719,0.002654818,0.003300878],"category_scores_gemma":[0.09799167,0.0003703592,0.0004219365,0.002069012,0.01613665,0.0104642,0.006952843,0.005445976,0.0003719469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007868316,"about_ca_system_score_gemma":0.009511568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01378003,"about_ca_topic_score_gemma":0.01317464,"domain_scores_codex":[0.9787663,0.007296085,0.001496847,0.001029477,0.009827159,0.001584009],"domain_scores_gemma":[0.8883018,0.07394273,0.007545817,0.009039475,0.0162246,0.004945577],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001286566,0.00020185,0.05312303,0.0002291586,0.00003018402,0.0004906799,0.02039882,0.002136075,0.001323293,0.7692385,0.008644846,0.1440549],"study_design_scores_gemma":[0.00006177653,0.0004398468,0.08430937,0.001489913,0.00007288237,0.001376823,0.01709286,0.01925234,0.005025176,0.7354541,0.1350178,0.0004070918],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4176564,0.001995812,0.1678601,0.1064932,0.0008554338,0.0003114377,0.000274606,0.0004688817,0.3040841],"genre_scores_gemma":[0.9876599,0.0001247338,0.008094663,0.001363973,0.00008862828,0.00004874111,0.00003934079,0.00003467699,0.002545357],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01856433,"threshold_uncertainty_score":0.09817874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006423820267284906,"score_gpt":0.1947202898842472,"score_spread":0.1882964696169623,"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."}}