{"id":"W4405000865","doi":"10.1111/cgf.15271","title":"The State of the Art in User‐Adaptive Visualizations","year":2024,"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 British Columbia; University of Toronto","funders":"","keywords":"Computer science; Computer graphics (images); State (computer science); Human–computer interaction; Programming language","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":[0.02039903,0.001140528,0.001158828,0.002763874,0.001172926,0.01302033,0.005294501,0.003612059,0.00684546],"category_scores_gemma":[0.0744735,0.001237943,0.001515168,0.003301504,0.007594605,0.01560112,0.004542096,0.003826515,0.001865455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002203242,"about_ca_system_score_gemma":0.001752432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003338972,"about_ca_topic_score_gemma":0.00139012,"domain_scores_codex":[0.9780437,0.01301823,0.0009520801,0.002840637,0.004497919,0.0006475319],"domain_scores_gemma":[0.8868283,0.09021686,0.002121285,0.0134888,0.006230982,0.00111377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003486894,0.000297097,0.006235033,0.003743136,0.0001531817,0.0001136931,0.01386458,0.01080576,0.004879563,0.1951428,0.007123892,0.7572926],"study_design_scores_gemma":[0.00009412835,0.000638371,0.01263241,0.00560533,0.0002315161,0.001131212,0.007171408,0.1481618,0.01953742,0.4247175,0.3795138,0.000565115],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.05985064,0.09941145,0.7744294,0.01514268,0.0005434858,0.0002899219,0.0003284361,0.005518245,0.04448573],"genre_scores_gemma":[0.6514823,0.05560945,0.2838092,0.001626467,0.0007228826,0.0005523564,0.0004291683,0.001228703,0.004539361],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.02039903,"threshold_uncertainty_score":0.1078817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01663240177794631,"score_gpt":0.2825589619793363,"score_spread":0.2659265602013899,"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."}}