{"id":"W2132515156","doi":"10.24908/pceea.v0i0.3858","title":"\"RUGPLOT\" VISUALIZATION FOR PRELIMINARY DESIGN","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Ontario Centres of Excellence","keywords":"Computer science; Plot (graphics); Visualization; Graph; Software; Class (philosophy); Scatter plot; Software engineering; Systems engineering; Data science; Data mining; Engineering; Theoretical computer science; Artificial intelligence; Programming language; Mathematics; Machine learning","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":[0.0005078626,0.0001097351,0.0001095011,0.0002708903,0.0001579291,0.0001264853,0.0006327314,0.00009697025,0.00001117152],"category_scores_gemma":[0.001024338,0.0001087177,0.00006388677,0.0006463827,0.000009083574,0.0005423912,0.00003942062,0.00006434857,0.000006447559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006680783,"about_ca_system_score_gemma":0.0006060242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008444057,"about_ca_topic_score_gemma":0.0002230376,"domain_scores_codex":[0.9990957,0.000007582526,0.0002502865,0.000190698,0.0002273763,0.0002283793],"domain_scores_gemma":[0.9985932,0.00004722567,0.000318505,0.0001294369,0.0007650044,0.0001466343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005636474,0.0001765875,0.01131782,0.0002333255,0.00009221277,4.640097e-8,0.004505256,0.0006270385,0.0009292509,0.860365,0.1194149,0.002332954],"study_design_scores_gemma":[0.000840225,0.0002641873,0.1017077,0.0003739901,0.0001832631,0.000008447406,0.0005384964,0.7395231,0.04302419,0.01134283,0.1010795,0.00111405],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005339616,0.0001185676,0.9775257,0.00413031,0.003947563,0.00186778,0.0000545447,0.0004853763,0.006530598],"genre_scores_gemma":[0.9377583,0.00001169407,0.05772578,0.0007742263,0.000153423,0.0001275552,0.00002318522,0.00004046529,0.00338543],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9324186,"threshold_uncertainty_score":0.4433379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02497704491680681,"score_gpt":0.2417239451980511,"score_spread":0.2167469002812443,"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."}}