{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001543719,0.000990032,0.0005403885,0.001381711,0.001079355,0.006511484,0.001586178,0.001431849,0.02766173],"category_scores_gemma":[0.01313856,0.0007418834,0.0009601343,0.001602109,0.002320632,0.007500113,0.003573319,0.001170272,0.001845273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008207067,"about_ca_system_score_gemma":0.0008984246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001322542,"about_ca_topic_score_gemma":0.002966783,"domain_scores_codex":[0.998772,0.0005727023,0.00006685298,0.0001810565,0.0003279866,0.00007947698],"domain_scores_gemma":[0.9938992,0.004455691,0.000204422,0.0009159528,0.0003618448,0.0001629014],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0008818069,0.0003624781,0.004601048,0.001794819,0.00007929309,0.0009728576,0.02555891,0.04943804,0.01573389,0.5337956,0.006218764,0.3605626],"study_design_scores_gemma":[0.0002701621,0.0005532806,0.002209225,0.0009800267,0.0002117419,0.001070253,0.02076194,0.2877166,0.01649739,0.5190083,0.1505427,0.0001784648],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1240981,0.0006279302,0.8081244,0.0005783933,0.00005829128,0.0002914086,0.0003734249,0.001355188,0.06449286],"genre_scores_gemma":[0.5320386,0.0005041442,0.4585066,0.00008993236,0.00001216805,0.0001974263,0.0004848534,0.0004746111,0.007691592],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02766173,"threshold_uncertainty_score":0.09253776,"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."}}