{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002728136,0.0001559634,0.0001473494,0.0002389589,0.0002746147,0.0001395376,0.0003261676,0.00006766411,0.00003700961],"category_scores_gemma":[0.000004474372,0.0001215203,0.00007649636,0.0004868516,0.00007964743,0.0002362342,0.000006119132,0.0001010744,0.00001971871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001128828,"about_ca_system_score_gemma":0.00001494294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005231425,"about_ca_topic_score_gemma":0.000001561034,"domain_scores_codex":[0.9987513,0.0001917278,0.0002723336,0.0003014395,0.0003448066,0.0001383463],"domain_scores_gemma":[0.9991638,0.0001147119,0.0001086073,0.0004156551,0.0001201649,0.00007705504],"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":[0.000006455241,0.0002075143,0.00003174985,0.00001430988,0.00002325819,2.936595e-7,0.0008115731,0.0003970138,0.00008221692,0.9896407,0.0005939023,0.008190996],"study_design_scores_gemma":[0.0003186632,0.0002920632,0.0003891599,0.00004537632,0.00001121555,0.000003552442,0.00004723837,0.9934875,0.002402916,0.0007385444,0.002114844,0.0001489194],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01056093,0.000003714479,0.9884549,0.0001961087,0.0003931148,0.0001364342,0.000006050906,0.000103709,0.0001449961],"genre_scores_gemma":[0.9960871,0.0001018468,0.0005840705,0.003074686,0.00004772881,0.00001095373,0.000006383944,0.00001244182,0.00007477585],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9930905,"threshold_uncertainty_score":0.4955454,"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."}}