{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000439826,0.00003357293,0.00003367554,0.00004528616,0.00002586073,0.00008288857,0.0002531152,0.0000106853,0.00007681701],"category_scores_gemma":[0.00000383789,0.00002638819,0.00001824354,0.0002497628,0.000008756541,0.0002270417,0.00006250903,0.00001520229,0.0001795095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002686874,"about_ca_system_score_gemma":0.000006864537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001816255,"about_ca_topic_score_gemma":0.000007949224,"domain_scores_codex":[0.9996554,0.000006217929,0.00007574131,0.0001007252,0.00008899136,0.00007293367],"domain_scores_gemma":[0.9997313,0.00000666412,0.00001369149,0.0002011791,0.0000255368,0.00002160057],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[8.961398e-8,0.00002865749,0.0002471467,8.022483e-7,0.000001029212,0.000001798451,0.00001323162,0.00006766165,0.00007638827,0.9515635,0.04627153,0.001728205],"study_design_scores_gemma":[0.0004643949,0.00005265111,0.002729473,0.000007184479,0.000004741657,0.000006841387,0.00003069789,0.4848736,0.01173905,0.1059984,0.3937458,0.0003471358],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0004851978,0.00001126811,0.9744655,0.0006600007,0.00006784638,0.00001336988,6.535835e-7,0.0001513754,0.02414483],"genre_scores_gemma":[0.8724431,0.00001936423,0.1025573,0.004271908,0.000195813,0.000003326774,0.00004820623,0.000008323816,0.02045268],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8719579,"threshold_uncertainty_score":0.2307292,"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."}}