{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003709114,0.000190298,0.0002381443,0.0002107295,0.0004890781,0.0002235517,0.0003990988,0.000139555,0.00003116191],"category_scores_gemma":[0.001525234,0.0001865041,0.0001629808,0.000159523,0.00001474329,0.0002818858,0.00002108036,0.0002186902,0.000004448532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001694586,"about_ca_system_score_gemma":0.0003750659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002098476,"about_ca_topic_score_gemma":0.001387561,"domain_scores_codex":[0.9990199,0.000002638149,0.0002702629,0.0001557818,0.0002177333,0.0003336923],"domain_scores_gemma":[0.9989142,0.00004596898,0.0002548561,0.0001521594,0.0004488658,0.0001839841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009792145,0.0002909815,0.1595529,0.004616827,0.00701936,6.572225e-7,0.006839697,0.4416557,0.04502081,0.05127227,0.2774288,0.006292288],"study_design_scores_gemma":[0.0008810229,0.00004400811,0.2189364,0.0005274569,0.001938728,0.00003519122,0.000982235,0.1591065,0.02992501,0.0004556701,0.5852113,0.001956564],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9565215,0.001317547,0.001161783,0.005936292,0.01787958,0.002011505,0.00008074354,0.0008442057,0.01424682],"genre_scores_gemma":[0.9913425,0.0000164571,0.005365437,0.00004919768,0.0002334489,0.0001555236,0.000007411104,0.00005932856,0.002770679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3077825,"threshold_uncertainty_score":0.7605416,"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."}}