{"id":"W2594276145","doi":"10.24908/pceea.v0i0.6484","title":"GRADUATE ATTRIBUTE ASSESSMENT IN SOFTWARE ENGINEERING PROGRAM AT UNIVERSITY OF OTTAWA – CONTINUAL IMPROVEMENT PROCESS","year":2017,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; University of Ottawa","keywords":"Rubric; Grading (engineering); Visualization; Computer science; Process (computing); Software engineering; Scale (ratio); Graduate students; Software; Data science; Engineering management; Data mining; Engineering; Mathematics education; Civil engineering; Cartography; Programming language; Medical education; Psychology","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":[0.009652236,0.0003137917,0.0003758868,0.004581684,0.002503433,0.003516678,0.001060166,0.0004054528,0.003545727],"category_scores_gemma":[0.0344707,0.0003055927,0.0003466461,0.006597534,0.001026224,0.001504255,0.002346272,0.001177973,0.001154734],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02139565,"about_ca_system_score_gemma":0.02983154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4379106,"about_ca_topic_score_gemma":0.6267584,"domain_scores_codex":[0.9907897,0.001620248,0.0006445392,0.0008759419,0.005133312,0.0009362655],"domain_scores_gemma":[0.929388,0.006479869,0.004836347,0.003419069,0.04908959,0.00678707],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005271899,0.0007148023,0.3863012,0.0004589746,0.00006558406,0.0001176107,0.01712518,0.006701841,0.005984179,0.003669559,0.03566291,0.5426709],"study_design_scores_gemma":[0.00003456356,0.0005405377,0.8900135,0.0001851246,0.00005219594,0.00007476317,0.01051767,0.01338444,0.01287983,0.001664619,0.0704235,0.0002292083],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9017072,0.000706354,0.03122061,0.003329862,0.0001881826,0.001319841,0.007595756,0.003543861,0.05038831],"genre_scores_gemma":[0.9376035,0.0003779767,0.04140695,0.0001405866,0.000021436,0.0004013397,0.002858514,0.0002184605,0.01697125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9903477,"threshold_uncertainty_score":0.8707234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008633109793604455,"score_gpt":0.246346333240242,"score_spread":0.2377132234466375,"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."}}