{"id":"W2161129117","doi":"10.24908/pceea.v0i0.3838","title":"EDUCATING ENGINEERS ABOUT PRODUCT DESIGN METHODOLOGY","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Design Education and Practice","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Product design; Computer science; Product (mathematics); Creativity; Engineering design process; Process (computing); New product development; Design review (U.S. government); Design education; High-level design; Product engineering; Design technology; Management science; Software engineering; Engineering management; Systems engineering; Engineering; Product testing; Psychology; Operations management","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00139576,0.0002332462,0.0002281694,0.0004397682,0.0001476406,0.00007755822,0.0004493061,0.0001703711,0.0001706335],"category_scores_gemma":[0.003167678,0.0002435606,0.00009281235,0.0008124796,0.00001982133,0.000416568,0.00001599856,0.0004045111,0.00004121707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001660312,"about_ca_system_score_gemma":0.0009037343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003466511,"about_ca_topic_score_gemma":0.0006342788,"domain_scores_codex":[0.9986145,0.00003183846,0.0004038424,0.0002297155,0.0002582626,0.0004617663],"domain_scores_gemma":[0.998487,0.0002044797,0.0002710511,0.0001831411,0.0005732168,0.0002810925],"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":[0.00003014742,0.0005661568,0.0583569,0.002275888,0.001479921,6.297379e-7,0.07173783,0.02762177,0.05065367,0.07861244,0.6646063,0.04405836],"study_design_scores_gemma":[0.000838888,0.0001062796,0.3757386,0.0006855208,0.0006932803,0.0001066088,0.006673946,0.01925011,0.1753107,0.002648524,0.4150588,0.002888779],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3830256,0.006062156,0.0256845,0.01846102,0.08646514,0.008234452,0.0001177048,0.004311054,0.4676384],"genre_scores_gemma":[0.9329907,0.00004091395,0.06315497,0.0002752699,0.0004010109,0.0001667489,0.000005640575,0.00009301258,0.00287177],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5499651,"threshold_uncertainty_score":0.9932114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04743245279272186,"score_gpt":0.2400383694162085,"score_spread":0.1926059166234866,"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."}}