{"id":"W4409720639","doi":"10.1145/3706599.3720182","title":"Comprehensive Sketching: Exploring Infographic Design Alternatives in Parallel","year":2025,"lang":"en","type":"article","venue":"","topic":"Design Education and Practice","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Infographic; Computer science; Human–computer interaction; Data mining","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001115958,0.00009258038,0.00009740198,0.0003059936,0.0000260444,0.00004199162,0.0001080773,0.00002567729,0.00008092823],"category_scores_gemma":[0.00003693981,0.00009482449,0.00002290765,0.0004091772,0.00001245682,0.0003638736,0.00001324021,0.000154238,0.00004307853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002689248,"about_ca_system_score_gemma":0.00001938615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003771436,"about_ca_topic_score_gemma":0.00000892238,"domain_scores_codex":[0.9994913,0.00006074303,0.0001522294,0.00009720607,0.00005997865,0.0001385001],"domain_scores_gemma":[0.999432,0.000378803,0.00001227705,0.0001227928,0.00002352839,0.00003055646],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009744319,0.0002174906,0.01335031,0.0003064323,0.0003218821,0.00002711527,0.01008549,0.78745,0.00636473,0.08309755,0.01665069,0.08203093],"study_design_scores_gemma":[0.00288345,0.00007922082,0.2186196,0.0003624781,0.00004928148,0.00001133134,0.01131486,0.2633224,0.0131711,0.02163689,0.4672773,0.001272089],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2205382,0.001154493,0.6272734,0.0007877999,0.001603205,0.0004028049,5.06102e-7,0.0006172553,0.1476222],"genre_scores_gemma":[0.9857299,0.0005910397,0.01261939,0.0002951337,0.00002103452,0.00008218317,0.000001129405,0.00001037189,0.0006497987],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7651917,"threshold_uncertainty_score":0.386683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1056998890718961,"score_gpt":0.305019183872054,"score_spread":0.1993192948001579,"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."}}