{"id":"W4402351701","doi":"10.1109/tvcg.2024.3456403","title":"The Effect of Visual Aids on Reading Numeric Data Tables","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Visual and Cognitive Learning Processes","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Data visualization; Reading (process); Visualization; Computer graphics (images); Information retrieval; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001771112,0.001027387,0.0004550677,0.0007439545,0.0003147664,0.001624627,0.0007132752,0.000913261,0.005923823],"category_scores_gemma":[0.04997842,0.0003906139,0.0004444329,0.000322387,0.0004979923,0.001476721,0.0008472295,0.0006404302,0.000463243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002376507,"about_ca_system_score_gemma":0.0002449016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001291967,"about_ca_topic_score_gemma":0.001321036,"domain_scores_codex":[0.9980862,0.001073967,0.0002256453,0.0002604196,0.0002344727,0.0001193233],"domain_scores_gemma":[0.9003263,0.09178703,0.003119275,0.001794786,0.001816315,0.001156358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.1062451,0.01500814,0.06296289,0.01202827,0.001168592,0.001601661,0.01743209,0.005488013,0.3619983,0.0009160782,0.005192109,0.4099586],"study_design_scores_gemma":[0.008796634,0.1097551,0.6302965,0.003880108,0.004209067,0.002894571,0.01899671,0.02772943,0.1680181,0.004663466,0.02002444,0.0007358788],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962942,0.0005893782,0.0009314354,0.00006734156,0.00005080019,0.00008128893,0.00009375432,0.0001531885,0.001738485],"genre_scores_gemma":[0.9880862,0.0006134461,0.008882231,0.0001719336,0.00004441166,0.0001704656,0.000217559,0.0001265641,0.001687262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005923823,"threshold_uncertainty_score":0.01981723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02667972100343494,"score_gpt":0.3596451477228549,"score_spread":0.33296542671942,"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."}}