{"id":"W2910030776","doi":"10.24908/pceea.v0i0.13060","title":"Evolution of Canadian Engineering Education Assessment Practice 2010-2017","year":2018,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Engineering Education and Curriculum Development","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Suncor Energy Incorporated","keywords":"Summative assessment; Formative assessment; Snapshot (computer storage); Graduate education; Engineering education; Engineering ethics; Computer science; Medical education; Engineering; Engineering management; Mathematics 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":[0.04046406,0.0008666017,0.001090245,0.02342132,0.006876356,0.01078545,0.006758139,0.002089035,0.00435196],"category_scores_gemma":[0.08868951,0.0008832794,0.0009508541,0.03350678,0.003868408,0.003309033,0.005804488,0.003280184,0.001144156],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.2679514,"about_ca_system_score_gemma":0.3836439,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9762137,"about_ca_topic_score_gemma":0.9803479,"domain_scores_codex":[0.946695,0.004696885,0.003045818,0.004386112,0.03678497,0.004391156],"domain_scores_gemma":[0.6944413,0.01316655,0.007772012,0.003633902,0.2636344,0.01735186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00027199,0.00018616,0.04806741,0.003472169,0.0001231475,0.0003283871,0.02255522,0.001859205,0.002481821,0.03643699,0.091806,0.7924116],"study_design_scores_gemma":[0.00002273975,0.0001261603,0.2272044,0.003241155,0.00005717732,0.0002683642,0.01170977,0.0007496679,0.001411719,0.001083131,0.753956,0.0001696807],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2820386,0.2229414,0.0128384,0.1134057,0.007637201,0.0007982957,0.008504773,0.001816895,0.3500187],"genre_scores_gemma":[0.8671676,0.06285267,0.01155542,0.006765303,0.0004839006,0.0003608643,0.005005516,0.0004642717,0.0453445],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7320486,"threshold_uncertainty_score":0.8490726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005177586800415708,"score_gpt":0.2158918258917227,"score_spread":0.210714239091307,"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."}}