{"id":"W2105099440","doi":"10.24908/pceea.v0i0.3913","title":"IMPROVEMENTS TO A UNIVERSITY CAPSTONE DESIGN PROGRAM THROUGH THE USE OF INDUSTRIAL MENTORS AND INCREASED MILESTONE DELIVERABLES","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Engineering Education and Pedagogy","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Milestone; Deliverable; Capstone; Engineering management; Work (physics); Engineering; Relevance (law); Medical education; Computer science; Systems engineering; Mechanical engineering; Medicine","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":[0.0002119399,0.0001388594,0.0001471905,0.0001952316,0.00009511822,0.00003747182,0.0002209261,0.0001227792,0.00001577967],"category_scores_gemma":[0.0003277474,0.000129141,0.00004187793,0.0004846111,0.00002155624,0.00022827,0.00002204713,0.0001649053,0.000001581533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008439453,"about_ca_system_score_gemma":0.0002922394,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02363153,"about_ca_topic_score_gemma":0.001971039,"domain_scores_codex":[0.9992595,0.000008874557,0.000205882,0.0001239138,0.0001735049,0.0002282802],"domain_scores_gemma":[0.9992821,0.00005259482,0.000122699,0.000103707,0.000274806,0.0001640869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001757194,0.001294417,0.2288023,0.001868399,0.0027917,0.000001053835,0.1186052,0.08764194,0.06365903,0.02712783,0.4299758,0.03805666],"study_design_scores_gemma":[0.002424815,0.0004345936,0.3670613,0.00104538,0.0007854127,0.00001507413,0.006691108,0.03573956,0.08643037,0.0002987983,0.4969791,0.002094569],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996162,0.00007113453,0.0002105278,0.0005818287,0.001146434,0.001015163,0.00003826319,0.0001375344,0.0006371236],"genre_scores_gemma":[0.9921909,0.00002787575,0.007087227,0.00008053533,0.00006853574,0.0000375421,0.000005151109,0.00002991139,0.0004722959],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.138259,"threshold_uncertainty_score":0.9828702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05420409976108434,"score_gpt":0.2182380666081111,"score_spread":0.1640339668470268,"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."}}