{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002848741,0.0005512092,0.0002576716,0.0009085339,0.0002162189,0.0009304778,0.000487697,0.0003958383,0.005391843],"category_scores_gemma":[0.001297659,0.0001675773,0.0002697128,0.0005499143,0.0002394041,0.001106078,0.0008318567,0.0004768403,0.0004199158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004120594,"about_ca_system_score_gemma":0.0002690833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002190551,"about_ca_topic_score_gemma":0.002254217,"domain_scores_codex":[0.9998865,0.0000274829,0.000006684245,0.0000211318,0.00004331038,0.00001488444],"domain_scores_gemma":[0.9997246,0.0001096104,0.00003009623,0.00003806798,0.00005909905,0.0000384239],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006485495,0.00007367189,0.002113881,0.0005140839,0.000056922,0.0007645163,0.001067201,0.1431987,0.2611229,0.03884117,0.01162879,0.5399696],"study_design_scores_gemma":[0.00004540443,0.00009596428,0.002178261,0.0000660904,0.00002179214,0.0004885449,0.0002228002,0.8991151,0.04904308,0.02717822,0.02150197,0.00004283262],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04070624,0.0004383908,0.9501225,0.0003753655,0.00005257552,0.00005388626,0.0003969514,0.003259331,0.004594722],"genre_scores_gemma":[0.4689398,0.0008890723,0.5255688,0.0000797385,0.0000706023,0.00006081738,0.0004624142,0.0003309721,0.003597817],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005391843,"threshold_uncertainty_score":0.0180375,"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."}}