{"id":"W2109247805","doi":"10.1109/tvcg.2008.197","title":"A Novel Visualization Technique for Electric Power Grid Analytics","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":92,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Office of Electricity Delivery and Energy Reliability; U.S. Department of Energy","keywords":"Visualization; Blackout; Computer science; Usability; Electricity; Data visualization; Grid; Electric power; Electric power industry; Geographic information system; Electric power system; Data science; Strengths and weaknesses; Information visualization; Visual analytics; Systems engineering; Human–computer interaction; Data mining; Power (physics); Electrical engineering; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0007076066,0.0008949784,0.0005474863,0.001836323,0.0005951588,0.002010903,0.0007862775,0.0008591518,0.005606757],"category_scores_gemma":[0.003366809,0.0003621684,0.0006291062,0.002592716,0.0004040069,0.002632823,0.001616888,0.001604237,0.001128112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002519404,"about_ca_system_score_gemma":0.00051366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001157632,"about_ca_topic_score_gemma":0.001279645,"domain_scores_codex":[0.9995097,0.0001422312,0.00003626161,0.00007869683,0.0001976801,0.00003546779],"domain_scores_gemma":[0.9989529,0.0004594181,0.000103415,0.000189556,0.0002436343,0.00005107233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004231819,0.0001492755,0.002673514,0.0009306028,0.0001550234,0.001100518,0.002795345,0.03661957,0.08617405,0.07092987,0.0620918,0.7359573],"study_design_scores_gemma":[0.0001524094,0.0002124054,0.002575986,0.0002415999,0.0001052903,0.00262557,0.0007534231,0.6328793,0.05086212,0.08132119,0.2280938,0.0001769536],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005327507,0.0003923319,0.9838681,0.000456237,0.0001264288,0.000065483,0.0004960765,0.006157109,0.003110655],"genre_scores_gemma":[0.1093712,0.0007953456,0.8854545,0.0001558571,0.0001164774,0.0002042468,0.0008840325,0.000648229,0.002370098],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005606757,"threshold_uncertainty_score":0.01875651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0289921746549816,"score_gpt":0.2933112848538452,"score_spread":0.2643191101988636,"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."}}