{"id":"W2133577732","doi":"10.1109/tvcg.2008.40","title":"Action-Based Multifield Video Visualization","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Visualization; Rendering (computer graphics); Pipeline (software); Computer graphics (images); Data visualization; Computer vision; Information visualization; Artificial intelligence","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":[0.0001175743,0.0002328433,0.0001874454,0.0005180159,0.0007336896,0.0001408599,0.0002578855,0.0001110039,0.00002369778],"category_scores_gemma":[0.000005095087,0.0002383237,0.0001014615,0.001022214,0.0001029767,0.0007327028,0.000004784848,0.0001859645,0.00001846887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002731405,"about_ca_system_score_gemma":0.00006203097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001392213,"about_ca_topic_score_gemma":0.000008541943,"domain_scores_codex":[0.9984298,0.0001164876,0.0003344032,0.0005176245,0.000365455,0.0002362403],"domain_scores_gemma":[0.999004,0.0001483609,0.0001128488,0.0003776862,0.0002004325,0.0001566891],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001200786,0.001913303,0.0008979489,0.0001573032,0.0001229858,0.00005194819,0.003778592,0.02595985,0.0006542939,0.7377461,0.002725794,0.2258718],"study_design_scores_gemma":[0.0007178815,0.000159724,0.0004098639,0.00004016742,0.000008160086,0.00002982416,0.00001532833,0.9871625,0.008215051,0.0002854056,0.002679751,0.0002763629],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003095858,0.00003006725,0.9950689,0.0001127654,0.0009091628,0.0001930876,0.000003024789,0.0005378677,0.00004925422],"genre_scores_gemma":[0.9832103,0.000347803,0.01176336,0.004428674,0.00006574915,0.00002531808,0.000009079145,0.00002744603,0.0001222195],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9833056,"threshold_uncertainty_score":0.9718557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03921889303156552,"score_gpt":0.3120618137654211,"score_spread":0.2728429207338556,"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."}}