{"id":"W2109113588","doi":"10.1145/1133265.1133348","title":"Line graph explorer","year":2006,"lang":"en","type":"article","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Metadata; Visualization; Graph; Graph database; Data visualization; Scalability; Graph drawing; Cluster analysis; Context (archaeology); Data mining; Information retrieval; Theoretical computer science; Artificial intelligence; 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":[0.001063548,0.0013984,0.0008667418,0.004269487,0.0006000518,0.001674247,0.001862375,0.001183165,0.07734132],"category_scores_gemma":[0.004201456,0.0005773929,0.001032215,0.002808429,0.0003666825,0.002901238,0.002659287,0.001255493,0.01805653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005022321,"about_ca_system_score_gemma":0.0006875183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001823515,"about_ca_topic_score_gemma":0.002832033,"domain_scores_codex":[0.9993188,0.0001564598,0.00005432383,0.00014374,0.0002477445,0.00007884886],"domain_scores_gemma":[0.9975987,0.001442219,0.0001263001,0.000335549,0.0003494936,0.0001477183],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007890752,0.0001791136,0.002327519,0.001688269,0.0002403246,0.0009109233,0.0008280291,0.005601379,0.01647621,0.02478554,0.5381054,0.4080682],"study_design_scores_gemma":[0.0003504504,0.0001435197,0.004079522,0.0002597875,0.0000791324,0.001075602,0.0004157173,0.1034305,0.02261363,0.05234786,0.8150479,0.000156318],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.01092803,0.001388651,0.4341121,0.001073714,0.0001953197,0.0007224948,0.07371864,0.4387297,0.03913133],"genre_scores_gemma":[0.1340502,0.00206686,0.6175431,0.001381559,0.000204472,0.003747169,0.1501278,0.05454952,0.03632925],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.07734132,"threshold_uncertainty_score":0.2587325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02945184954353227,"score_gpt":0.2853591389277265,"score_spread":0.2559072893841943,"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."}}