{"id":"W2167252678","doi":"10.1109/tvcg.2008.34","title":"GrouseFlocks: Steerable Exploration of Graph Hierarchy Space","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":154,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"University of British Columbia; Institut national de recherche en informatique et en automatique (INRIA)","keywords":"Computer science; Theoretical computer science; Hierarchy; Graph; Lattice graph; Cluster analysis; Voltage graph; Line graph; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0009862572,0.001918064,0.001231421,0.00251942,0.0009661571,0.00210514,0.002433149,0.001543455,0.01725893],"category_scores_gemma":[0.004110653,0.001229782,0.00140205,0.001539158,0.0008807215,0.003314,0.005922473,0.001517111,0.002426766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000524106,"about_ca_system_score_gemma":0.0006977431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004662362,"about_ca_topic_score_gemma":0.01232273,"domain_scores_codex":[0.9992734,0.0001808189,0.00002845974,0.0001503765,0.0002678757,0.00009912112],"domain_scores_gemma":[0.9977797,0.001391734,0.00009134736,0.0003699014,0.0001852693,0.0001819855],"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":[0.002787975,0.0005886389,0.005108307,0.002241936,0.000452632,0.001555298,0.005543497,0.08313587,0.1148566,0.03076031,0.1487657,0.6042033],"study_design_scores_gemma":[0.0004682206,0.0003579501,0.002835221,0.0002596348,0.00007745259,0.001071851,0.0009921527,0.8301445,0.04387034,0.04304432,0.07662059,0.0002577846],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0481771,0.0006980287,0.8474586,0.0004244686,0.0000680739,0.0002667629,0.001607438,0.092953,0.008346561],"genre_scores_gemma":[0.1948229,0.0005541773,0.7849498,0.0003002092,0.00002773209,0.0004618521,0.003746086,0.0101745,0.004962772],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01725893,"threshold_uncertainty_score":0.05773693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04099397213653357,"score_gpt":0.2795971650931736,"score_spread":0.2386031929566401,"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."}}