{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002153163,0.002539788,0.0009473104,0.006400257,0.0006328449,0.003067333,0.001961513,0.001451084,0.01518904],"category_scores_gemma":[0.009762505,0.001181585,0.002213303,0.002778403,0.0007349772,0.003275346,0.003866374,0.001617514,0.007402218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007575741,"about_ca_system_score_gemma":0.001074798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001666517,"about_ca_topic_score_gemma":0.005448634,"domain_scores_codex":[0.9985666,0.000486664,0.0001431106,0.000293842,0.0004289731,0.00008090987],"domain_scores_gemma":[0.9951085,0.002121717,0.0003166609,0.00166743,0.0005010421,0.0002846424],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006687,0.0004436915,0.006096636,0.003358043,0.0002199944,0.000775727,0.002737107,0.02246199,0.02037963,0.02469012,0.2033077,0.7148606],"study_design_scores_gemma":[0.0004152939,0.0003722947,0.004238879,0.0007906202,0.0001522718,0.001047836,0.0009945182,0.3039718,0.04428807,0.05940089,0.5841097,0.000217798],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02102594,0.001290846,0.782483,0.0005843805,0.0002080794,0.0008379798,0.02224085,0.1585893,0.01273966],"genre_scores_gemma":[0.0642539,0.000524033,0.8815488,0.0001940747,0.00004270772,0.0009725199,0.03751352,0.008814688,0.006135732],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01518904,"threshold_uncertainty_score":0.05081242,"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."}}