{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008429203,0.0006521142,0.0003603064,0.001399442,0.001008971,0.002888217,0.0009065182,0.00175059,0.006106232],"category_scores_gemma":[0.02445649,0.000598276,0.0003751542,0.0008068259,0.002063615,0.003471867,0.002281753,0.003250509,0.003664227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00109512,"about_ca_system_score_gemma":0.003350188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00089468,"about_ca_topic_score_gemma":0.00156355,"domain_scores_codex":[0.9934521,0.002897442,0.0003611426,0.0003523373,0.002620057,0.0003170623],"domain_scores_gemma":[0.9837246,0.01091455,0.00080953,0.001638042,0.002324963,0.0005883879],"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":[0.00003660812,0.0008778357,0.003959656,0.001084797,0.0000429133,0.0003655312,0.01591803,0.006892035,0.01829107,0.1205542,0.03517377,0.7968036],"study_design_scores_gemma":[0.00005622446,0.0003341132,0.002631333,0.001430151,0.00003051628,0.001733193,0.004156343,0.008356017,0.01166744,0.1503013,0.8192339,0.00006943972],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02168354,0.004473794,0.8802575,0.01498185,0.0004749568,0.0002393801,0.00005177886,0.0009762233,0.07686101],"genre_scores_gemma":[0.1872999,0.01342823,0.7387587,0.005930691,0.0004258538,0.000368923,0.0001915047,0.0002590428,0.05333704],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008429203,"threshold_uncertainty_score":0.04457837,"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."}}