{"id":"W3003020276","doi":"10.24908/pceea.vi0.13713","title":"DESIGN DAYS BOOT CAMP 2.0: IMPROVEMENTS AND CONNECTIONS TO CEAB GRADUATE ATTRIBUTES","year":2019,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Engineering Education and Curriculum Development","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Capstone; Cornerstone; Boot camp; Variety (cybernetics); Engineering design process; Design education; Computer science; Engineering education; Engineering management; Engineering; Mathematics education; Software engineering; Psychology; Artificial intelligence","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":[0.01226774,0.0009143737,0.0005470515,0.001880197,0.001925909,0.00551762,0.002541038,0.001479976,0.03247304],"category_scores_gemma":[0.03337786,0.0009261466,0.0008821524,0.001268645,0.001206783,0.002578477,0.005677958,0.004850146,0.0120016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003602281,"about_ca_system_score_gemma":0.00804531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002331131,"about_ca_topic_score_gemma":0.007974233,"domain_scores_codex":[0.9886303,0.003324097,0.0005887068,0.0009145841,0.005352729,0.001189656],"domain_scores_gemma":[0.9632598,0.00539326,0.001679737,0.00625022,0.01196761,0.01144931],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004797734,0.003316649,0.006567453,0.0007409638,0.00001537059,0.0003586527,0.01379608,0.002693402,0.01739648,0.01608692,0.260949,0.6775993],"study_design_scores_gemma":[0.0001379278,0.00152149,0.01592821,0.0004263066,0.00001263326,0.0004219395,0.00234554,0.001817849,0.006437818,0.009036279,0.9617534,0.0001607705],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2229384,0.001136956,0.2507146,0.0238215,0.006744771,0.005731497,0.003026213,0.03655,0.449336],"genre_scores_gemma":[0.2706712,0.00101245,0.4603455,0.00448228,0.001011636,0.00566963,0.005679951,0.007972898,0.2431545],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03247304,"threshold_uncertainty_score":0.1086331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01025271010195707,"score_gpt":0.1948027835558663,"score_spread":0.1845500734539092,"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."}}