{"id":"W1959038507","doi":"10.24908/pceea.v0i0.3862","title":"THE USE OF PRODUCT DATA MANAGEMENT (PDM) SOFTWARE TO SUPPORT STUDENT DESIGN PROJECTS","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Product data management; Variety (cybernetics); Product (mathematics); Data management; Software engineering; Data sharing; Software; Computer science; Engineering management; Systems engineering; New product development; Engineering; Product lifecycle; Database; Operating system; Business","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":[0.0005077158,0.0001519887,0.0001364512,0.0002107078,0.0001326478,0.0001092762,0.0007285009,0.00006203165,0.00001369052],"category_scores_gemma":[0.0005407687,0.0001266651,0.0000343243,0.0004266888,0.00001088295,0.0003405129,0.00008954752,0.0001223606,0.000004522046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006841401,"about_ca_system_score_gemma":0.0002113146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001131055,"about_ca_topic_score_gemma":0.001173945,"domain_scores_codex":[0.9988454,0.000005610384,0.0003209838,0.0002092272,0.0003322476,0.0002865266],"domain_scores_gemma":[0.9989662,0.00003870842,0.0001891033,0.0003065534,0.0003703867,0.0001290553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0000346328,0.0003518838,0.0772012,0.003632124,0.001316791,6.514564e-7,0.01755423,0.4072499,0.0006450636,0.007600441,0.4322126,0.05220051],"study_design_scores_gemma":[0.0007505968,0.0001809777,0.4982455,0.0009588472,0.0005997712,0.000008125873,0.001552442,0.04148655,0.05293171,0.0002724877,0.4012791,0.001733908],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8078485,0.002277192,0.06627366,0.01085162,0.03766755,0.03558698,0.00106622,0.004113812,0.03431448],"genre_scores_gemma":[0.9534979,0.00009498427,0.04388072,0.0001001923,0.0001130626,0.0001938987,0.0000250891,0.00007461877,0.002019526],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4210443,"threshold_uncertainty_score":0.5165251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05831541241690572,"score_gpt":0.2288087377727659,"score_spread":0.1704933253558602,"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."}}