{"id":"W4415534409","doi":"10.24908/pceea.2025.20039","title":"Design Days Boot Camp 3.0 – Improvements and Student Perceived Value","year":2025,"lang":"","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Design Education and Practice","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Respondent; Cornerstone; Big game; Big data; Software; Value (mathematics)","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":[0.003892413,0.0001703969,0.0002080116,0.0008421294,0.0008187915,0.00276693,0.0005124994,0.0004657748,0.007060395],"category_scores_gemma":[0.01568858,0.0002171447,0.0003100714,0.0005124005,0.0006592596,0.0008292801,0.001752727,0.00128309,0.001116754],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001326043,"about_ca_system_score_gemma":0.00147709,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002708832,"about_ca_topic_score_gemma":0.006124789,"domain_scores_codex":[0.9962205,0.00104191,0.0001796279,0.0001752949,0.001845587,0.0005369562],"domain_scores_gemma":[0.9785098,0.004118016,0.002862982,0.000680263,0.004484992,0.009343908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002782082,0.003219468,0.783863,0.0001551144,0.00006332822,0.0002351798,0.01732213,0.0003354742,0.002692697,0.000985479,0.0163943,0.1744556],"study_design_scores_gemma":[0.00003255673,0.001126055,0.9462212,0.00008213787,0.00002159803,0.0002393132,0.025428,0.0009143911,0.001051766,0.0005210019,0.02430352,0.00005842277],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911653,0.00007226376,0.0002400612,0.0007179368,0.00002843822,0.00003625627,0.00007294843,0.00004194472,0.007624681],"genre_scores_gemma":[0.9956372,0.00006762404,0.0004949108,0.0001709183,0.00001622285,0.00002713983,0.0001092236,0.00001771745,0.003459006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.998674,"threshold_uncertainty_score":0.02361941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007696583183717015,"score_gpt":0.2377462994038072,"score_spread":0.2300497162200902,"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."}}