{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001192746,0.001366279,0.0006185619,0.002302452,0.0005208364,0.002343751,0.001442044,0.0008154399,0.01592504],"category_scores_gemma":[0.00317078,0.0004079051,0.0008854235,0.001482888,0.0003984818,0.002214583,0.003699984,0.001245775,0.002300695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004247149,"about_ca_system_score_gemma":0.0006147012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002620777,"about_ca_topic_score_gemma":0.003542182,"domain_scores_codex":[0.9994226,0.0002139674,0.00003731934,0.00007986424,0.0001869526,0.0000593641],"domain_scores_gemma":[0.9984949,0.0008009198,0.00007809528,0.0003031963,0.0001820543,0.0001409234],"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":[0.001474103,0.0003210253,0.005910593,0.002262395,0.0004182445,0.001620104,0.004743801,0.05699843,0.1067967,0.0397286,0.3252717,0.4544544],"study_design_scores_gemma":[0.0003624261,0.0003390489,0.007142933,0.0004891091,0.000114131,0.001328476,0.001117696,0.4917968,0.05374235,0.08090407,0.3623778,0.0002850439],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02358566,0.000722699,0.8003442,0.001193743,0.0002046081,0.0002305693,0.008813934,0.1555558,0.00934877],"genre_scores_gemma":[0.2417074,0.00160499,0.718752,0.000565758,0.0001609539,0.0005977955,0.01665565,0.01335085,0.00660456],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01592504,"threshold_uncertainty_score":0.05327457,"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."}}