{"id":"W2051939396","doi":"10.1109/icds.2010.67","title":"Visualizing Plot in 3D","year":2010,"lang":"en","type":"article","venue":"","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Plot (graphics); Computer science; Visualization; Focus (optics); Pyramid (geometry); Centrality; Feature (linguistics); XML; Space (punctuation); Human–computer interaction; Data science; Artificial intelligence; World Wide Web; Mathematics","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":[0.0009494138,0.0007863464,0.0003719759,0.001496689,0.0009417013,0.003321551,0.0009525202,0.000954176,0.02175679],"category_scores_gemma":[0.003250021,0.0003668131,0.0009446114,0.001139437,0.0008596723,0.00270819,0.002237015,0.001174659,0.004528917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004699552,"about_ca_system_score_gemma":0.0004873103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001296015,"about_ca_topic_score_gemma":0.002269178,"domain_scores_codex":[0.9993362,0.00023275,0.00003948877,0.00008224061,0.0002520228,0.00005725923],"domain_scores_gemma":[0.9987412,0.0006124092,0.00007228804,0.0002223804,0.0002546394,0.0000970742],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004525665,0.0001959603,0.004605972,0.001537608,0.0001237949,0.001318657,0.01521499,0.04441031,0.065405,0.2294318,0.08557633,0.5517271],"study_design_scores_gemma":[0.0000654296,0.0001278947,0.001647512,0.0002599119,0.0000479673,0.001173679,0.001420881,0.08008143,0.03618776,0.04653713,0.8322843,0.0001662342],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007102562,0.0004629264,0.9632444,0.0005736866,0.0002481965,0.000136996,0.0006371843,0.006126558,0.0214675],"genre_scores_gemma":[0.108549,0.001040997,0.8715245,0.0003071513,0.0001311979,0.0004837701,0.001430464,0.002377985,0.01415493],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02175679,"threshold_uncertainty_score":0.07278377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05644354964269612,"score_gpt":0.259697058131263,"score_spread":0.2032535084885669,"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."}}