{"id":"W2024806371","doi":"10.1145/2470654.2470696","title":"Individual user characteristics and information visualization","year":2013,"lang":"en","type":"article","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":136,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Visualization; Human–computer interaction; Information visualization; Eye tracking; Bar chart; Perception; Relation (database); Cognition; Gaze; Task (project management); User interface; User modeling; Data visualization; Visual analytics; Creative visualization; Artificial intelligence; Data mining; Psychology","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":[0.00008023229,0.00005292704,0.00005189742,0.00008838628,0.00005249918,0.0007027269,0.0001855494,0.00002794161,0.0001198683],"category_scores_gemma":[0.00004241108,0.0000452368,0.000007380474,0.0001936498,0.00001349375,0.004847558,0.0001410961,0.00002252751,0.0003132162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004810514,"about_ca_system_score_gemma":0.00001368039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001123208,"about_ca_topic_score_gemma":5.077226e-7,"domain_scores_codex":[0.9995239,0.00001434559,0.0001586234,0.00007459963,0.0001454241,0.00008310356],"domain_scores_gemma":[0.9996323,0.00001389876,0.0000580155,0.0001375842,0.0001027046,0.00005552351],"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":[1.761977e-7,0.00001461226,0.005016632,0.000009592571,0.000005518554,1.134152e-7,0.0003828316,0.000001188828,0.00002307666,0.943078,0.01136959,0.0400987],"study_design_scores_gemma":[0.0003854228,0.00005343888,0.2339247,0.00001210609,0.000008683845,0.000007915176,0.0001217544,0.5856489,0.0003732805,0.001826633,0.1773367,0.0003004678],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01094678,0.000002322653,0.9863812,0.0004026259,0.00007909847,0.00008573102,0.000005068322,0.0001212169,0.001975928],"genre_scores_gemma":[0.9698175,0.00006497873,0.0201029,0.00867357,0.00004723141,0.00001213653,0.000371935,0.000005931458,0.0009038877],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9662783,"threshold_uncertainty_score":0.6776412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01462599791917371,"score_gpt":0.2644998251327063,"score_spread":0.2498738272135326,"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."}}