{"id":"W2070664725","doi":"10.1109/tvcg.2014.2346320","title":"Four Experiments on the Perception of Bar Charts","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":132,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McGill University","keywords":"Bar chart; Bar (unit); Computer science; Chart; Pie chart; Perception; Ranking (information retrieval); Visualization; Artificial intelligence; Statistics; Mathematics; Psychology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006025195,0.00214259,0.001314047,0.0006602099,0.001703101,0.002075753,0.003882208,0.004249308,0.0119994],"category_scores_gemma":[0.07537174,0.001564123,0.0009521436,0.000691819,0.00224435,0.003885707,0.003630673,0.003185942,0.001345429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000993219,"about_ca_system_score_gemma":0.0007358316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001513424,"about_ca_topic_score_gemma":0.001337928,"domain_scores_codex":[0.9932863,0.002764967,0.001009198,0.001286807,0.001038901,0.0006138247],"domain_scores_gemma":[0.8661687,0.1144034,0.00446703,0.006625864,0.006277488,0.002057364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.05491926,0.04690412,0.0282692,0.0156546,0.0007408845,0.002680541,0.1644672,0.009552523,0.4586826,0.008175668,0.01035278,0.1996006],"study_design_scores_gemma":[0.03333717,0.1455598,0.2036697,0.003507287,0.001929982,0.003216761,0.05188055,0.04969673,0.3802614,0.05047995,0.07328171,0.003178977],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9813767,0.0005144709,0.008864422,0.0003408018,0.0001592309,0.001965018,0.0004912124,0.0002878024,0.006000431],"genre_scores_gemma":[0.9388622,0.00050408,0.04702131,0.0007969945,0.0001032813,0.005740503,0.001173622,0.0002318504,0.005566132],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0119994,"threshold_uncertainty_score":0.040142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03604497504253758,"score_gpt":0.2931317659053733,"score_spread":0.2570867908628358,"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."}}