{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01168998,0.0006955376,0.001075935,0.00997981,0.004912746,0.00769722,0.001755496,0.001636163,0.001579892],"category_scores_gemma":[0.02666406,0.0005225515,0.0008113651,0.02020879,0.003618048,0.002958522,0.002468913,0.002521133,0.0002157379],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0735976,"about_ca_system_score_gemma":0.2423879,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7801311,"about_ca_topic_score_gemma":0.8913466,"domain_scores_codex":[0.9926978,0.002391333,0.0008667604,0.0005854607,0.002807921,0.0006507486],"domain_scores_gemma":[0.976004,0.009596955,0.002548852,0.0003164774,0.01058855,0.0009451498],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001674808,0.0001534215,0.007877741,0.1861995,0.0004793162,0.00112311,0.09850439,0.0007456725,0.0007620731,0.0527884,0.05820841,0.5929905],"study_design_scores_gemma":[0.00002604403,0.00009349801,0.02528748,0.2386464,0.0006931051,0.0005610138,0.07512745,0.0001595024,0.0005104105,0.002372346,0.656422,0.0001006668],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002976754,0.985167,0.0001898692,0.005465359,0.00023824,0.00009379733,0.0001162922,0.000005394617,0.005747323],"genre_scores_gemma":[0.04086588,0.9552495,0.0007754551,0.001787744,0.00007049151,0.000196436,0.0001151194,0.000004424292,0.0009349182],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.98831,"threshold_uncertainty_score":0.5339905,"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."}}