{"id":"W2128021194","doi":"10.24908/pceea.v0i0.3792","title":"VIRTUAL REALITY TECHNOLOGY IN PRODUCT DESIGN AND MANUFACTURING","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Plan (archaeology); Virtual reality; Product (mathematics); Course (navigation); Product design; Process (computing); Engineering management; Manufacturing engineering; Engineering; Work (physics); Engineering design process; Computer science; Human–computer interaction; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003266996,0.0001310229,0.0001350668,0.0004479408,0.00006496627,0.00003550145,0.0001811019,0.0001350163,0.0000128581],"category_scores_gemma":[0.0002282229,0.0001335671,0.00002143672,0.0002985857,0.00001506046,0.0002056955,0.00001901277,0.0002085406,0.000001625504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008126785,"about_ca_system_score_gemma":0.0001227619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001993189,"about_ca_topic_score_gemma":0.001244192,"domain_scores_codex":[0.9992411,0.000003727849,0.0002261707,0.0001599527,0.0001241572,0.0002449047],"domain_scores_gemma":[0.9996019,0.00001530679,0.0001050821,0.00008073847,0.0001094531,0.00008751935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00003298766,0.0002988822,0.2802656,0.003156837,0.0004141894,0.000001221505,0.01835934,0.5799676,0.007454071,0.04570875,0.01690205,0.04743851],"study_design_scores_gemma":[0.0006005183,0.000046689,0.5836839,0.0005058841,0.00007897901,0.00001488922,0.0006984165,0.07076628,0.3307744,0.004399589,0.007403628,0.001026791],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889153,0.0002977524,0.00140398,0.001807855,0.001340736,0.0009133,0.000009149666,0.0004078781,0.004904074],"genre_scores_gemma":[0.9967151,0.00003479066,0.002877985,0.00002251462,0.00004071135,0.00005291348,0.000001731307,0.00002760385,0.000226663],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5092013,"threshold_uncertainty_score":0.544671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01021006669665601,"score_gpt":0.1838632148091746,"score_spread":0.1736531481125186,"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."}}