{"id":"W2059883798","doi":"10.1080/15427951.2011.604289","title":"NAViGaTOR: Large Scalable and Interactive Navigation and Analysis of Large Graphs","year":2011,"lang":"en","type":"article","venue":"Internet Mathematics","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Visualization; Computer science; Workflow; Graph drawing; Scalability; Graphical user interface; Data visualization; Graph Layout; Variety (cybernetics); Memory footprint; Interactive visualization; Data mining; Database; Programming language; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.002076559,0.002209135,0.001093205,0.003634999,0.0008681254,0.002415854,0.003235659,0.0009901498,0.03731834],"category_scores_gemma":[0.007140652,0.001118831,0.001296921,0.002945163,0.000582808,0.004305346,0.004183902,0.00166119,0.01128708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005575648,"about_ca_system_score_gemma":0.00141838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004868545,"about_ca_topic_score_gemma":0.008448343,"domain_scores_codex":[0.9988581,0.0002408686,0.00007378024,0.0002115843,0.0005284069,0.00008713573],"domain_scores_gemma":[0.9970367,0.001438059,0.0001372413,0.0006840716,0.0004262489,0.0002777393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008682596,0.0002085176,0.00264948,0.00140832,0.0003649984,0.0009166014,0.001158303,0.0150788,0.02867549,0.02379093,0.5755228,0.3493575],"study_design_scores_gemma":[0.0007932939,0.0002459226,0.004543453,0.0004385328,0.0001676855,0.00096043,0.0003985974,0.3310481,0.03932222,0.09017231,0.531517,0.0003924815],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003945486,0.0003536753,0.5874398,0.0003897967,0.0001233958,0.00030963,0.01309223,0.3873585,0.006987604],"genre_scores_gemma":[0.05232908,0.001105035,0.8347969,0.0003612929,0.0001210161,0.001274555,0.04758245,0.04992778,0.01250185],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03731834,"threshold_uncertainty_score":0.1248423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01488171552979747,"score_gpt":0.2781225979841873,"score_spread":0.2632408824543898,"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."}}