{"id":"W3001394191","doi":"10.24908/pceea.vi0.13736","title":"APPROACHES TO GRADUATE ATTRIBUTES AND CONTINUAL IMPROVEMENT PROCESSES IN FACULTIES OF ENGINEERING ACROSS CANADA: A NARRATIVE REVIEW OF THE LITERATURE","year":2019,"lang":"en","type":"review","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Engineering Education and Curriculum Development","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"University of Alberta","keywords":"Accreditation; Narrative; Work (physics); Engineering ethics; Graduate students; Medical education; Selection (genetic algorithm); Computer science; Engineering; 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":[0.0004092851,0.0003872175,0.0009335711,0.0002011481,0.00005170732,0.00004892219,0.00046531,0.0001984708,0.00000243116],"category_scores_gemma":[0.001273573,0.0003032325,0.0001387452,0.001596665,0.00001452583,0.000119823,0.0000648965,0.0004435419,3.776676e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002497294,"about_ca_system_score_gemma":0.002094591,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01406907,"about_ca_topic_score_gemma":0.07018941,"domain_scores_codex":[0.9981301,0.000009179524,0.0008277093,0.0002416453,0.000428813,0.0003624917],"domain_scores_gemma":[0.9985006,0.00009081444,0.00051711,0.0001632791,0.0005866841,0.0001414697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001416947,0.00009146384,0.001826827,0.9044598,0.0008191608,1.735677e-7,0.02167323,0.005073978,0.000048889,0.0006674135,0.03165206,0.03368555],"study_design_scores_gemma":[0.0002575932,0.00003008131,0.01150996,0.2786688,0.0004112269,0.00001366164,0.002057001,0.0003864238,0.0008702825,0.000004527496,0.704551,0.001239436],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00977163,0.9844127,0.00000335507,0.001129226,0.001846202,0.002278108,0.0004265311,0.00004424775,0.00008799274],"genre_scores_gemma":[0.06638692,0.9301769,0.0007312806,0.000132403,0.0001702918,0.00108024,0.0001243168,0.0001774275,0.001020232],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.6728989,"threshold_uncertainty_score":0.999942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03438181388197216,"score_gpt":0.2463218114677721,"score_spread":0.2119399975858,"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."}}