{"id":"W4224241337","doi":"10.1111/cgf.14527","title":"Infographics Wizard: Flexible Infographics Authoring and Design Exploration","year":2022,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Infographic; Computer science; Wizard; Representation (politics); Human–computer interaction; Multimedia; World Wide Web; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009502915,0.0002751328,0.0002546507,0.001118541,0.001152165,0.0006543839,0.001172051,0.00008342756,0.000008996849],"category_scores_gemma":[0.00002287216,0.0003082849,0.0001279854,0.003294019,0.0001339065,0.001602101,0.001779158,0.0004465308,0.000004985197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002646017,"about_ca_system_score_gemma":0.0001005409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009866699,"about_ca_topic_score_gemma":0.000006323645,"domain_scores_codex":[0.9975147,0.0002431257,0.0004642928,0.0005965785,0.0006846185,0.0004967133],"domain_scores_gemma":[0.9984853,0.0001521939,0.0002125489,0.0007793488,0.0001593881,0.0002112724],"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":[0.000007190688,0.00009074611,0.003826058,0.00002118882,0.00004908929,0.00001328248,0.0007306422,0.004629685,0.00001195979,0.9696208,0.01036546,0.01063394],"study_design_scores_gemma":[0.0004715629,0.0003493426,0.0005719574,0.00001618985,0.00001783577,0.00003963251,0.0001451171,0.8483036,0.00006702354,0.05758176,0.09198829,0.0004477508],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0005740455,0.0002286959,0.9954939,0.001808225,0.0008990032,0.0002896552,0.00001447993,0.0005648675,0.0001270577],"genre_scores_gemma":[0.6996055,0.00177929,0.2796969,0.01750221,0.0003588346,0.0002859633,0.0003644978,0.0001331253,0.0002737699],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.912039,"threshold_uncertainty_score":0.9999369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05201679111776838,"score_gpt":0.2832203008529653,"score_spread":0.2312035097351969,"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."}}