{"id":"W2603486877","doi":"10.24908/pceea.v0i0.6495","title":"USING META-CASES FOR CAPSTONE LEARNING","year":2017,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Engineering Education and Curriculum Development","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Capstone; Experiential learning; Engineering education; Project-based learning; Computer science; Engineering management; Engineering ethics; Engineering; Mathematics education; Psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.01128716,0.001606627,0.0006163545,0.004850664,0.001791775,0.01060782,0.004601023,0.002301795,0.01314019],"category_scores_gemma":[0.03584965,0.001000754,0.001604452,0.002424978,0.003451573,0.01010877,0.008669594,0.003513523,0.003661361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003312787,"about_ca_system_score_gemma":0.002636187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008208925,"about_ca_topic_score_gemma":0.001701774,"domain_scores_codex":[0.985274,0.008908914,0.0008711191,0.001410268,0.00298984,0.0005459064],"domain_scores_gemma":[0.9752559,0.01613839,0.001301571,0.004526407,0.001806728,0.0009711651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001898393,0.0008031874,0.002515718,0.0006734245,0.00008251453,0.001621426,0.01097038,0.03738048,0.003634542,0.541631,0.01349653,0.387001],"study_design_scores_gemma":[0.0001607203,0.0004231117,0.001052704,0.001699456,0.0000702792,0.001993555,0.005367015,0.1728392,0.0144399,0.4454992,0.3562588,0.0001960813],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01759327,0.0005738697,0.9336513,0.002285298,0.0001898457,0.0008495005,0.0001967681,0.001723813,0.04293638],"genre_scores_gemma":[0.1525037,0.0004732102,0.8377048,0.0002730964,0.00007495706,0.000759312,0.0006131348,0.0004474753,0.007150376],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01314019,"threshold_uncertainty_score":0.05969298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03243037167772898,"score_gpt":0.2558422997068846,"score_spread":0.2234119280291556,"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."}}