{"id":"W3200503446","doi":"","title":"Information Visualization for Systems People","year":2002,"lang":"en","type":"article","venue":"USENIX Annual Technical Conference","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Visualization; Computer science; Information visualization; Information system; Human–computer interaction; Artificial intelligence; Engineering","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":[0.0002163824,0.0001280186,0.0001696856,0.0001369305,0.0001284844,0.0004877883,0.0006982902,0.0001087229,0.00004409747],"category_scores_gemma":[0.0003240085,0.0001201204,0.00005059685,0.0005295588,0.00003113162,0.002054882,0.0001595439,0.00007387127,0.0001715414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003135779,"about_ca_system_score_gemma":0.00003015385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001381092,"about_ca_topic_score_gemma":0.000009127773,"domain_scores_codex":[0.9988606,0.00003799666,0.0003835497,0.0001888593,0.0002982356,0.0002307677],"domain_scores_gemma":[0.9987361,0.0000898415,0.0001459289,0.0004156895,0.0005076149,0.0001048295],"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":[0.000001898539,0.00005453631,0.00006733854,0.00002980547,0.000005158185,2.892941e-7,0.000606617,0.00005643463,0.00006521995,0.9674132,0.02601849,0.005680964],"study_design_scores_gemma":[0.0003191996,0.0001232393,0.0002241544,0.00002482085,0.000008349009,0.00001007167,0.0001571709,0.8058801,0.0001216538,0.001073462,0.1918247,0.000233015],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0002259321,0.00002543004,0.9958382,0.0004789334,0.0002048314,0.0003235231,0.00009261506,0.0005012391,0.002309333],"genre_scores_gemma":[0.9925307,0.00005642239,0.006101807,0.0004768598,0.00005059661,0.00005742813,0.0001241949,0.000007712938,0.0005942917],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9923047,"threshold_uncertainty_score":0.4898367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0352360210263221,"score_gpt":0.2951441122454369,"score_spread":0.2599080912191148,"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."}}