{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005456806,0.0007601764,0.0004870145,0.003317451,0.000942445,0.002105973,0.002247149,0.0004928882,0.01248345],"category_scores_gemma":[0.01755404,0.001290319,0.0004479587,0.003329095,0.0006360239,0.002512099,0.003633672,0.001439924,0.005769805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001511124,"about_ca_system_score_gemma":0.003613008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004896873,"about_ca_topic_score_gemma":0.006972665,"domain_scores_codex":[0.9967699,0.0006953397,0.0003199296,0.0004900079,0.001569419,0.0001554141],"domain_scores_gemma":[0.980051,0.006360694,0.00181564,0.00694054,0.003594937,0.001237185],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000239333,0.0003711896,0.01065165,0.0002750309,0.00004062715,0.0001172522,0.0009902602,0.005370218,0.01122331,0.008672525,0.04332292,0.9187257],"study_design_scores_gemma":[0.0003306551,0.0006557544,0.03097536,0.000309046,0.00008046543,0.000827269,0.000534163,0.120345,0.04211659,0.02134067,0.7822704,0.0002146218],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0419806,0.0003978574,0.81984,0.0007640294,0.0001008933,0.0007063604,0.002030787,0.08080633,0.05337308],"genre_scores_gemma":[0.2628179,0.000633333,0.7025996,0.0002447524,0.00008365916,0.0008715075,0.006338916,0.005520907,0.02088934],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01248345,"threshold_uncertainty_score":0.04176128,"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."}}