{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006800098,0.0002714187,0.0002529789,0.000285995,0.0001483657,0.0001624102,0.0003546774,0.0001121381,0.000003134276],"category_scores_gemma":[0.001566582,0.0002454818,0.00006275305,0.0009190943,0.00001452121,0.0001651268,0.0000434803,0.0002789611,0.000008729146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001940672,"about_ca_system_score_gemma":0.0005662942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002355872,"about_ca_topic_score_gemma":0.002155166,"domain_scores_codex":[0.9985157,0.000005808936,0.0003822398,0.0002133597,0.0003974753,0.0004853967],"domain_scores_gemma":[0.9984592,0.0001139516,0.0001307281,0.000149983,0.000693103,0.0004530776],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003456383,0.0003253428,0.05514516,0.003604554,0.001159842,0.000002478667,0.08149312,0.1918628,0.02503285,0.0297796,0.5892123,0.02234732],"study_design_scores_gemma":[0.00241697,0.0002023556,0.3628014,0.001222101,0.0004109206,0.0001010435,0.01223827,0.1859049,0.02665704,0.000588434,0.4043097,0.003146806],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989764,0.0003892333,0.0004103054,0.005692885,0.002005529,0.0009385176,0.00006534071,0.0002834893,0.0004507127],"genre_scores_gemma":[0.9938936,0.00001808423,0.004687996,0.0003465318,0.0001528732,0.0002783809,0.00003437313,0.00007608485,0.0005121009],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3076563,"threshold_uncertainty_score":0.9999998,"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."}}