{"id":"W2142048126","doi":"10.24908/pceea.v0i0.5865","title":"RECONCILING GRADUATE ATTRIBUTE ASSESSMENT WITH EXISTING OUTCOME-BASED ASSESSMENT","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":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"British Columbia Institute of Technology","funders":"","keywords":"Accreditation; Framing (construction); Curriculum; Medical education; Psychology; Process (computing); Quality (philosophy); Computer science; Engineering; 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":[0.0009014121,0.0002670602,0.0002601339,0.0003350795,0.0001361927,0.0001582154,0.0003159744,0.0001309869,0.00001590804],"category_scores_gemma":[0.0004106223,0.0002487327,0.00007634814,0.0007622511,0.00001355055,0.0002223505,0.00001765885,0.000432003,0.000007721329],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007255684,"about_ca_system_score_gemma":0.001956383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001083216,"about_ca_topic_score_gemma":0.001225796,"domain_scores_codex":[0.9982108,0.000008062807,0.0004736235,0.0002222027,0.0006383577,0.0004469051],"domain_scores_gemma":[0.9981623,0.00005059719,0.0002436575,0.0001509191,0.0009594513,0.0004331137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000002232458,0.0001211249,0.6794139,0.0007421296,0.0002601843,4.617466e-7,0.001303029,0.26665,0.0007687081,0.00478253,0.04469996,0.001255764],"study_design_scores_gemma":[0.001264053,0.00006847877,0.7771372,0.0007691721,0.0001746947,0.00001423562,0.001992161,0.1518964,0.003209328,0.00009809884,0.06196736,0.001408908],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9578551,0.0001458389,0.003038138,0.005583487,0.007234491,0.001112929,0.00004810882,0.0009045692,0.02407733],"genre_scores_gemma":[0.9800752,0.0000035767,0.01850832,0.0001561409,0.0001542284,0.0001596301,0.00002883463,0.00006767499,0.0008464335],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1147536,"threshold_uncertainty_score":0.9999965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04302447919174777,"score_gpt":0.2705329153112343,"score_spread":0.2275084361194865,"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."}}