{"id":"W2058203255","doi":"10.1109/tvcg.2011.279","title":"Empirical Studies in Information Visualization: Seven Scenarios","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":628,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Visualization; Computer science; Information visualization; Data visualization; Visual analytics; Data science; Creative visualization; Empirical research; Human–computer interaction; Information retrieval; Data mining","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":[0.0003290067,0.0002487505,0.0002637701,0.0009228198,0.0002502299,0.0001973062,0.0003556386,0.0001363736,0.00002184548],"category_scores_gemma":[0.0000108918,0.0002448816,0.00007175597,0.001838592,0.0001280248,0.001833224,0.0000157491,0.0001630479,0.00003022708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004621654,"about_ca_system_score_gemma":0.00006334124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001623215,"about_ca_topic_score_gemma":0.0000370673,"domain_scores_codex":[0.9982243,0.0001815179,0.000599477,0.0003690448,0.0003734313,0.0002522493],"domain_scores_gemma":[0.9989887,0.0000771616,0.0001541587,0.0003564184,0.0002907298,0.0001327911],"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":[0.00002901871,0.000600701,0.001169472,0.0001196357,0.00009656881,0.00001078039,0.02539153,0.0007962908,0.000001488215,0.9617701,0.001321261,0.008693129],"study_design_scores_gemma":[0.0007895969,0.0002430693,0.001008592,0.00009807009,0.00002009861,0.00002240443,0.0003679912,0.9923158,0.0003744373,0.001750988,0.002652081,0.0003568946],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003223642,0.0000413799,0.9953687,0.00005445843,0.0006718439,0.0002226606,0.000009102617,0.0002814145,0.0001267528],"genre_scores_gemma":[0.9903392,0.0009599227,0.003144947,0.005352682,0.00004566199,0.00003543221,0.00003588556,0.00002122526,0.00006508933],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9922238,"threshold_uncertainty_score":0.9985983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08538256592749338,"score_gpt":0.3483762672902525,"score_spread":0.2629937013627591,"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."}}