{"id":"W4416690870","doi":"10.1109/tvcg.2025.3634790","title":"A Design Space for Multiscale Visualization","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Visualization; Dimension (graph theory); Space (punctuation); Data visualization; Code (set theory); Scale (ratio); Power (physics); Generative Design; Generative grammar","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":[0.01275945,0.001852013,0.0007929701,0.003032534,0.001809819,0.008931681,0.00177114,0.00193358,0.01195466],"category_scores_gemma":[0.03956603,0.001160849,0.001878717,0.001986425,0.003931473,0.006373984,0.005611571,0.00250388,0.002433587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001496405,"about_ca_system_score_gemma":0.002116238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001028255,"about_ca_topic_score_gemma":0.001333727,"domain_scores_codex":[0.9874151,0.007827023,0.001082201,0.001113381,0.002132801,0.000429516],"domain_scores_gemma":[0.978311,0.01278646,0.0009853225,0.00395074,0.003160996,0.0008054648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002725778,0.0001517722,0.002851955,0.001578743,0.0001036538,0.000332085,0.01127244,0.01913408,0.01252004,0.7562453,0.02055216,0.1749851],"study_design_scores_gemma":[0.0001548617,0.0002743042,0.0009562261,0.000996545,0.00009192434,0.0005710944,0.003178074,0.08675595,0.009761192,0.6337118,0.2634278,0.0001201872],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006945046,0.0003318127,0.9812859,0.001185412,0.00007493217,0.0002757727,0.0003311734,0.001977724,0.007592217],"genre_scores_gemma":[0.07222849,0.0002183275,0.923197,0.0002615937,0.0000334702,0.000964633,0.0004196541,0.0008585635,0.001818364],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01275945,"threshold_uncertainty_score":0.06747919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02797148248200855,"score_gpt":0.3138283260405776,"score_spread":0.2858568435585691,"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."}}