{"id":"W1924607400","doi":"10.24908/pceea.v0i0.5876","title":"RUBRICS AS A VEHICLE TO DEFINE THE TWELVE CEAB GRADUATE ATTRIBUTES, DETERMINE GRADUATE COMPETENCIES, AND DEVELOP A COMMON LANGUAGE FOR ENGINEERING STAKEHOLDERS","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":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; University of Manitoba","keywords":"Rubric; Accreditation; Set (abstract data type); Process (computing); Computer science; Mathematics education; Medical education; Psychology; Medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.03258896,0.002106114,0.0009463829,0.01720932,0.003634296,0.00632732,0.003128752,0.001397648,0.01417786],"category_scores_gemma":[0.09204816,0.001054396,0.0009727977,0.00666494,0.003085361,0.00585236,0.006125994,0.005042172,0.01127237],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006955856,"about_ca_system_score_gemma":0.0153238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01948419,"about_ca_topic_score_gemma":0.02355808,"domain_scores_codex":[0.9616277,0.0179427,0.0052614,0.001527408,0.01270987,0.0009308967],"domain_scores_gemma":[0.9050521,0.01814966,0.006017179,0.009724618,0.05776598,0.003290502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001172672,0.0004721814,0.005767571,0.001340888,0.00003402976,0.0003126517,0.02380997,0.003351943,0.009421611,0.1000344,0.1395241,0.7158134],"study_design_scores_gemma":[0.00004386727,0.0002265145,0.00983625,0.001555472,0.0000189824,0.0005326644,0.01106136,0.006864187,0.004379219,0.0262824,0.9389667,0.0002323683],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04079873,0.002882615,0.713021,0.01012495,0.001998999,0.01076353,0.004474162,0.01396551,0.2019704],"genre_scores_gemma":[0.060544,0.001319616,0.8689749,0.001328625,0.0003582573,0.006608712,0.007873281,0.002839141,0.05015343],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9930441,"threshold_uncertainty_score":0.172349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04899696431219767,"score_gpt":0.2323134866307049,"score_spread":0.1833165223185072,"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."}}