{"id":"W2950847613","doi":"10.1109/icde.2019.00220","title":"IVLG: Interactive Visualization of Large Graphs","year":2019,"lang":"en","type":"article","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Visualization; Search engine indexing; Aggregate (composite); Schema (genetic algorithms); User interface; Graph; Abstraction; Information retrieval; Data mining; Theoretical computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0001105589,0.0000483649,0.00008157537,0.0001087826,0.00001506934,0.00003980972,0.0003028855,0.00001997101,0.0003013626],"category_scores_gemma":[0.0000212143,0.00004133414,0.00003158664,0.0004155468,0.000007213506,0.0005168348,0.0001296212,0.00002166681,0.0001753711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006486807,"about_ca_system_score_gemma":0.00001781325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007235117,"about_ca_topic_score_gemma":0.000004082282,"domain_scores_codex":[0.9994645,0.00002567883,0.0001402489,0.0001402372,0.0001437183,0.00008558165],"domain_scores_gemma":[0.9995083,0.00002727314,0.00007492356,0.0002593236,0.0001033166,0.00002690591],"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":[0.000001039194,0.00006303303,0.004176218,0.000008057802,0.000007644269,2.115797e-7,0.0002451275,0.00001031213,0.0005409702,0.9930264,0.001488275,0.0004326547],"study_design_scores_gemma":[0.0008901121,0.0001716797,0.005355836,0.00004767387,0.000008379618,0.000002786623,0.0003525788,0.9187495,0.02906224,0.01016211,0.03491659,0.0002805381],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009617797,0.00000567986,0.9691346,0.00007936602,0.000180924,0.00006613728,0.000004135566,0.00006917078,0.02084224],"genre_scores_gemma":[0.9953005,0.000007113441,0.002375787,0.0005397004,0.000004836749,6.278574e-7,0.00002310211,0.000003352856,0.001744953],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9856827,"threshold_uncertainty_score":0.3299709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01276445754592929,"score_gpt":0.3236531622221746,"score_spread":0.3108887046762452,"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."}}