{"id":"W2072589092","doi":"10.1111/j.1467-8659.2008.01233.x","title":"Interactive Exploratory Visualization of 2D Vector Fields","year":2008,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Glyph (data visualization); Computer science; Visualization; Computer graphics (images); Animation; Set (abstract data type); Field (mathematics); Computer animation; Euclidean vector; Vector field; Artificial intelligence; Computer vision; Mathematics","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":[0.0007513604,0.0008830774,0.0005076346,0.001880895,0.000386798,0.001697278,0.000592357,0.0005498229,0.01063578],"category_scores_gemma":[0.002448152,0.0003011088,0.0005685845,0.0008691152,0.0004306495,0.001248564,0.002281112,0.0005936634,0.001025091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002723098,"about_ca_system_score_gemma":0.0002743095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006091911,"about_ca_topic_score_gemma":0.0008303282,"domain_scores_codex":[0.9996836,0.0001183199,0.00001317665,0.00004512067,0.00010031,0.00003938066],"domain_scores_gemma":[0.9981719,0.001320271,0.00008865164,0.0001726276,0.000139222,0.0001072705],"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":[0.002006143,0.0003739312,0.00863767,0.00203988,0.0002871733,0.002398401,0.00842132,0.09350601,0.2628933,0.04897042,0.06164851,0.5088172],"study_design_scores_gemma":[0.0003917663,0.0005186062,0.01784557,0.0006291278,0.0001023035,0.002398085,0.00221212,0.6441594,0.1088374,0.05851224,0.1639914,0.0004020141],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1038974,0.0008793926,0.8628712,0.0006857612,0.0001770312,0.0002036335,0.002214526,0.01694661,0.01212443],"genre_scores_gemma":[0.4959903,0.0008986466,0.4946032,0.000288098,0.0001122277,0.0003374702,0.001581481,0.001653082,0.004535547],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01063578,"threshold_uncertainty_score":0.03558028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02946974761588329,"score_gpt":0.2877688119403164,"score_spread":0.2582990643244332,"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."}}