{"id":"W3165673720","doi":"10.1109/tvcg.2021.3085327","title":"InfoColorizer: Interactive Recommendation of Color Palettes for Infographics","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Microsoft Research Asia","keywords":"Infographic; Computer science; Computer graphics (images); Data visualization; Visualization; Multimedia; World Wide Web; Information retrieval; Artificial intelligence; Data mining","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":[0.0002043905,0.0001769314,0.0002384721,0.0004300962,0.0002179982,0.0001942348,0.0002142203,0.0001105951,0.00001460293],"category_scores_gemma":[0.00001511828,0.0001891377,0.0001300225,0.001251103,0.00007734285,0.0005965231,0.000009978139,0.0001179081,0.000001710104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001627895,"about_ca_system_score_gemma":0.00007334891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003225907,"about_ca_topic_score_gemma":0.00001888424,"domain_scores_codex":[0.9987225,0.0001158641,0.0004551981,0.0003670485,0.0001739211,0.000165449],"domain_scores_gemma":[0.9985216,0.0003385396,0.0002102065,0.0002758105,0.0005627065,0.00009110892],"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":[0.00003418672,0.000496086,0.0001099145,0.0001034603,0.0001363503,0.000001167978,0.0007914265,0.0003809793,0.0001027555,0.9744241,0.001055695,0.02236392],"study_design_scores_gemma":[0.000930692,0.0003495445,0.0001633082,0.0000576423,0.00003999355,0.000007875882,0.00008640975,0.9687998,0.01153789,0.001492026,0.0162995,0.0002353114],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001671475,0.00001365572,0.9969121,0.0002439316,0.0006303859,0.0002656605,0.00007778429,0.0001252596,0.00005972752],"genre_scores_gemma":[0.9654909,0.001040345,0.02285083,0.009780872,0.0001074685,0.0001253057,0.0004249516,0.00004426034,0.000135102],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9740613,"threshold_uncertainty_score":0.7712811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02309543016759274,"score_gpt":0.3051622337590534,"score_spread":0.2820668035914606,"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."}}