{"id":"W1859172557","doi":"10.24908/pceea.v0i0.3742","title":"ENHANCING DESIGN EDUCATION BY PRODUCT REVERSE ENGINEERING","year":2011,"lang":"en","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":"","funders":"","keywords":"Product design; Engineering education; Design education; Creativity; Knowledge engineering; Health systems engineering; Engineering management; Product (mathematics); Engineering design process; Computer science; New product development; Engineering; Knowledge management; Mechanical engineering","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":[0.001546961,0.0006421253,0.0004619135,0.0009016383,0.0003698926,0.001293103,0.0009160902,0.0008655468,0.006099417],"category_scores_gemma":[0.003958448,0.0002369719,0.0004861525,0.0003992706,0.0005732234,0.001701666,0.001799432,0.0007013211,0.001607104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004038181,"about_ca_system_score_gemma":0.001427265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004092488,"about_ca_topic_score_gemma":0.0008032913,"domain_scores_codex":[0.9984121,0.0006181148,0.00008568586,0.0001937354,0.0005428383,0.000147499],"domain_scores_gemma":[0.997439,0.001414865,0.0001663944,0.0005302541,0.0003200369,0.0001293554],"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":[0.0001928669,0.006684185,0.003710263,0.001037596,0.00001663672,0.0001879758,0.003073059,0.003292171,0.06610227,0.01679627,0.002091494,0.8968154],"study_design_scores_gemma":[0.0007507889,0.02680371,0.05214402,0.001452536,0.0003243594,0.005859875,0.005862569,0.04910993,0.3922691,0.04996073,0.4152125,0.0002499158],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.4871803,0.0005590486,0.4172381,0.0007224147,0.00008956779,0.001513317,0.00009493133,0.002010077,0.09059221],"genre_scores_gemma":[0.4813186,0.0008316024,0.4938403,0.0002955108,0.00002960723,0.00054487,0.0001188712,0.0001320071,0.02288862],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.006099417,"threshold_uncertainty_score":0.02040452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009860386899780534,"score_gpt":0.1863681625445832,"score_spread":0.1765077756448026,"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."}}