{"id":"W1902602028","doi":"10.24908/pceea.v0i0.3819","title":"CENTRALIZING INFORMATION IN ENGINEERING DESIGN DOCUMENTS","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":"Optimal distinctiveness theory; Computer science; Information design; Engineering ethics; Engineering; Human–computer interaction; Psychology","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":[0.02755596,0.0009834059,0.00139852,0.0190262,0.005787389,0.02649584,0.002674922,0.002879491,0.004972422],"category_scores_gemma":[0.08694535,0.001429052,0.0007569559,0.02276599,0.00962384,0.03129962,0.01237978,0.003457428,0.002464181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007753104,"about_ca_system_score_gemma":0.01123768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006265023,"about_ca_topic_score_gemma":0.004950299,"domain_scores_codex":[0.963284,0.01539408,0.005114274,0.003892243,0.01069928,0.001616185],"domain_scores_gemma":[0.8492223,0.07622269,0.01084192,0.03369494,0.02831213,0.001705976],"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":[0.0003382269,0.0001266396,0.005367833,0.001496233,0.00006924803,0.001301365,0.0772138,0.004132345,0.01164528,0.4250585,0.01473008,0.4585204],"study_design_scores_gemma":[0.000109808,0.0001613198,0.004010196,0.002390184,0.0002050647,0.001754711,0.02742694,0.008518111,0.02689945,0.2842044,0.6441015,0.0002183203],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1061456,0.009692625,0.7063422,0.01532687,0.001381837,0.0009615512,0.001486432,0.003853081,0.1548098],"genre_scores_gemma":[0.5609403,0.006348961,0.3965618,0.001708255,0.001017248,0.0007779825,0.002680154,0.001859645,0.02810564],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02755596,"threshold_uncertainty_score":0.1457316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01145944405040281,"score_gpt":0.1916066264656655,"score_spread":0.1801471824152626,"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."}}