{"id":"W4286611169","doi":"10.1145/3528223.3530111","title":"Perception of letter glyph parameters for InfoTypography","year":2022,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Engineering and Physical Sciences Research Council; Natural Sciences and Engineering Research Council of Canada","keywords":"Glyph (data visualization); Font; Computer science; Visualization; Range (aeronautics); Sentence; Typography; Perception; Natural language processing; Artificial intelligence; Interval (graph theory); Chinese characters; Information retrieval; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001982986,0.00008725136,0.0001042397,0.0004558856,0.0003032442,0.00003819799,0.0007132494,0.00003065773,0.00004693413],"category_scores_gemma":[0.00001292354,0.0000933343,0.0001924588,0.001078435,0.00005427105,0.0002242947,0.00001773648,0.000143564,0.000002425066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001540648,"about_ca_system_score_gemma":0.0000235946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001370568,"about_ca_topic_score_gemma":0.000005097789,"domain_scores_codex":[0.9991268,0.00005221913,0.000204981,0.0002121452,0.0002696235,0.0001342637],"domain_scores_gemma":[0.9990771,0.0001241908,0.00007644462,0.0006162159,0.00006478011,0.0000412915],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003659525,0.004662256,0.003426535,0.000385212,0.0009630072,0.000009618607,0.007907323,0.07462346,0.006028112,0.4563583,0.05680508,0.3884651],"study_design_scores_gemma":[0.005389984,0.004341779,0.005709255,0.00006799508,0.000398606,0.00004291874,0.00266625,0.3971457,0.004585427,0.1141622,0.4634836,0.002006247],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006178915,0.000006347652,0.9910884,0.002059328,0.0002855177,0.0001590042,0.0001074041,0.00007655464,0.00003846978],"genre_scores_gemma":[0.9271619,0.00005336375,0.06605968,0.006436068,0.00001371516,0.000114343,0.00005887404,0.00001413354,0.00008788329],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9250288,"threshold_uncertainty_score":0.3806062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03172951379207583,"score_gpt":0.2858545176409286,"score_spread":0.2541250038488528,"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."}}