{"id":"W1821704562","doi":"10.24908/pceea.v0i0.3760","title":"VIRTUAL AND PHYSICAL PROTOTYPING TO DEMONSTRATE DESIGN FEASIBILITY","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Virtual prototyping; Automotive industry; Conceptual design; Rapid prototyping; Process (computing); Automotive engineering; Fuel efficiency; Manufacturing engineering; Engineering design process; Design process; Engineering; Systems engineering; Hybrid vehicle; Computer science; Embedded system; Work in process; Simulation; Mechanical engineering; Operations management; Operating system","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003624984,0.0001145413,0.0001446023,0.0001533636,0.00009143304,0.00003211753,0.0001722871,0.0001663738,0.000004275764],"category_scores_gemma":[0.0004551554,0.000113279,0.00003629689,0.0003042734,0.00001370741,0.0001285593,0.00001239264,0.0002124861,0.000005726002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008076334,"about_ca_system_score_gemma":0.0001782067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001168851,"about_ca_topic_score_gemma":0.0006567145,"domain_scores_codex":[0.9993508,0.000005988756,0.000172307,0.0001289841,0.0001107641,0.0002311715],"domain_scores_gemma":[0.9995217,0.00002394881,0.00007480515,0.00007191177,0.0001649005,0.0001427439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001270254,0.000529814,0.4835218,0.00138803,0.001450871,9.678073e-7,0.04342667,0.01329024,0.1508388,0.1821657,0.04406148,0.0791986],"study_design_scores_gemma":[0.001999841,0.0004819976,0.6567248,0.001135099,0.0003774482,0.00003094534,0.003733749,0.09607742,0.2152833,0.006773334,0.0149175,0.002464535],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942234,0.00003361513,0.0002737286,0.0004865434,0.0007743201,0.001155835,0.000007366215,0.0002073685,0.002837876],"genre_scores_gemma":[0.9989215,0.000001227624,0.0005969791,0.00003416966,0.0001124287,0.0001453666,4.53064e-7,0.00001962068,0.0001682992],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1753924,"threshold_uncertainty_score":0.4619382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01901345232055614,"score_gpt":0.198144107628535,"score_spread":0.1791306553079788,"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."}}