{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00100329,0.002084231,0.0006208346,0.002041317,0.0004384924,0.0013729,0.001166156,0.0009358846,0.01764499],"category_scores_gemma":[0.007030612,0.0006677054,0.0007915809,0.001209518,0.0003489309,0.002616166,0.001204397,0.0009881628,0.00415106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004089637,"about_ca_system_score_gemma":0.0004698224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001676608,"about_ca_topic_score_gemma":0.006830994,"domain_scores_codex":[0.999531,0.0001474774,0.00003940865,0.0001074951,0.0001441434,0.00003043191],"domain_scores_gemma":[0.9961439,0.002036913,0.0001873875,0.0008597937,0.0005290719,0.0002428881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001669511,0.0007046075,0.0105984,0.003362081,0.0002359775,0.0007315323,0.002893663,0.008213618,0.05888092,0.006497079,0.1070634,0.7991492],"study_design_scores_gemma":[0.0008367307,0.001692471,0.0302805,0.0009579909,0.0005316238,0.002014549,0.002231985,0.3205835,0.1543421,0.02065106,0.4651605,0.0007171069],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09008118,0.00171932,0.7241034,0.0006249466,0.0002964124,0.0008642451,0.007117912,0.1526568,0.02253577],"genre_scores_gemma":[0.2177007,0.000763325,0.7558429,0.0003400324,0.00007641968,0.0006555259,0.005702387,0.004868716,0.01404999],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01764499,"threshold_uncertainty_score":0.05902839,"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."}}