{"id":"W4413096328","doi":"10.1109/iccsp64183.2025.11088600","title":"Advanced Visualization Tools, Algorithms, and Techniques: Advancements and Applications Across Domains","year":2025,"lang":"en","type":"article","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Computer science; Visualization; Data science; 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":[0.007295688,0.00235329,0.001776998,0.01194086,0.001096182,0.009155744,0.002435274,0.002076944,0.01132408],"category_scores_gemma":[0.01616208,0.001383277,0.001990808,0.01488692,0.001974359,0.007676837,0.003303796,0.004853712,0.005678302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001305004,"about_ca_system_score_gemma":0.001520649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002018222,"about_ca_topic_score_gemma":0.001819119,"domain_scores_codex":[0.993182,0.002410037,0.0005650473,0.0007926401,0.002852225,0.0001981273],"domain_scores_gemma":[0.9865826,0.007763047,0.000739692,0.00151733,0.002960854,0.0004365669],"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":[0.0001124769,0.00009874851,0.001643157,0.004184335,0.0002046876,0.0001879304,0.001150863,0.005112773,0.006814885,0.06010284,0.05380761,0.8665797],"study_design_scores_gemma":[0.00005078028,0.0001472836,0.00283239,0.00287853,0.0001497338,0.001746451,0.0008785415,0.03808299,0.01204784,0.1428672,0.798021,0.000297256],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.004213179,0.1951931,0.7524908,0.008214675,0.001473834,0.0002583232,0.001843688,0.0130139,0.02329843],"genre_scores_gemma":[0.02866301,0.1705989,0.7882147,0.001119436,0.002059315,0.0003332207,0.00199737,0.002498125,0.004515884],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01194086,"threshold_uncertainty_score":0.0385837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01503431487000035,"score_gpt":0.3635718195185859,"score_spread":0.3485375046485855,"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."}}