{"id":"W1961611971","doi":"10.24908/pceea.v0i0.5897","title":"CURRICULUM MAPPING IN ENGINEERING EDUCATION: LINKING ATTRIBUTES, OUTCOMES AND ASSESSMENTS","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":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Accreditation; Curriculum; Engineering education; Science and engineering; Medical education; Engineering ethics; Engineering; Computer science; Engineering management; Psychology; Pedagogy; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004994564,0.0002343169,0.0002283101,0.0005703815,0.00006672359,0.0001421364,0.0002655319,0.0001767681,0.000009555149],"category_scores_gemma":[0.0005674933,0.0002543257,0.00005634073,0.000870249,0.000008735356,0.0003270952,0.00003634884,0.000337756,0.000007199286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002807927,"about_ca_system_score_gemma":0.0009600588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002007534,"about_ca_topic_score_gemma":0.001003552,"domain_scores_codex":[0.9986303,0.000005100558,0.0004189617,0.0002053922,0.0003481785,0.0003920488],"domain_scores_gemma":[0.9989994,0.00003206507,0.000140037,0.0001147497,0.0003702962,0.0003434227],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[2.560454e-7,0.0000790103,0.9630783,0.0006300064,0.00008449618,1.354887e-7,0.001429427,0.01162851,0.0002662251,0.00563898,0.01598796,0.001176666],"study_design_scores_gemma":[0.0005845718,0.0000151878,0.8651997,0.001291166,0.0000521149,0.00001769552,0.002577634,0.05888939,0.0007603607,0.0001976911,0.0694489,0.0009655936],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9879836,0.0007552127,0.0001358034,0.001693931,0.00560963,0.0004306082,0.000009455972,0.0002655961,0.003116133],"genre_scores_gemma":[0.9950148,0.00003225051,0.003920133,0.0001135199,0.0001559795,0.0001495744,0.00001965044,0.00005345091,0.0005406145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09787863,"threshold_uncertainty_score":0.9999909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01017813018960786,"score_gpt":0.2245594959305747,"score_spread":0.2143813657409668,"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."}}