{"id":"W138163147","doi":"","title":"Next-generation, scalable network visualization and analysis","year":2011,"lang":"en","type":"article","venue":"Conference of the Centre for Advanced Studies on Collaborative Research","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Visualization; Computer science; Data visualization; Scalability; Data science; Information visualization; Visual analytics; Graph drawing; Social network analysis; Data mining; World Wide Web; Database","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":[0.004825582,0.001254851,0.001170036,0.002191593,0.0007771163,0.00445625,0.002780343,0.001073535,0.01443892],"category_scores_gemma":[0.01283603,0.0007704032,0.001315551,0.002126292,0.0006367436,0.006264257,0.003506518,0.002188738,0.002185873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001229151,"about_ca_system_score_gemma":0.001581015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004753235,"about_ca_topic_score_gemma":0.007509856,"domain_scores_codex":[0.9982939,0.0006186414,0.00008343985,0.0002391176,0.0006346424,0.0001302038],"domain_scores_gemma":[0.9933861,0.002387566,0.0002064168,0.001967135,0.001515048,0.0005377717],"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":[0.0008844063,0.0002552318,0.004290045,0.0006878993,0.0004761418,0.0004979181,0.001325143,0.1048626,0.01803249,0.07588015,0.2775334,0.5152745],"study_design_scores_gemma":[0.0001266231,0.00007563188,0.001328556,0.0001192183,0.00004863563,0.0002302153,0.0002476721,0.783181,0.007514218,0.1030446,0.104024,0.00005966592],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006975374,0.001046414,0.9595477,0.003226824,0.0005179207,0.0001714099,0.002159049,0.021623,0.004732224],"genre_scores_gemma":[0.1235188,0.001848163,0.8546527,0.0006134192,0.0003614718,0.0007104372,0.008309197,0.002880716,0.00710503],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01443892,"threshold_uncertainty_score":0.04830301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2042328873439756,"score_gpt":0.4126227801775031,"score_spread":0.2083898928335275,"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."}}