{"id":"W4317826954","doi":"10.1109/iv56949.2022.00062","title":"Visualization and Visual Knowledge Discovery from Big Uncertain Data","year":2022,"lang":"en","type":"article","venue":"","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; University of Manitoba","keywords":"Big data; Computer science; Visualization; Knowledge extraction; Data science; Data visualization; Data mining; Information visualization; Data discovery; Variety (cybernetics); Artificial intelligence; World Wide Web","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001847864,0.00006350024,0.00006641982,0.00004509104,0.0002791128,0.0002732968,0.0009044215,0.00001099201,0.00003342962],"category_scores_gemma":[0.00001492681,0.00005965523,0.000007762962,0.0003539086,0.00002092949,0.0006600285,0.003023095,0.00005527794,0.00001434603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001857613,"about_ca_system_score_gemma":0.00006315557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004017226,"about_ca_topic_score_gemma":0.00004732672,"domain_scores_codex":[0.9991716,0.0000464958,0.0001106923,0.000438122,0.0001305952,0.0001025381],"domain_scores_gemma":[0.9992233,0.00008704565,0.00003464117,0.0006017228,0.00001303664,0.00004027317],"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":[0.000002111395,0.0002530685,0.0003914296,0.000003741744,0.00001764196,0.000002914976,0.0007679654,0.00001335442,0.0004132065,0.1542349,0.0240306,0.8198691],"study_design_scores_gemma":[0.0001349545,0.00003326051,0.001221719,0.000002104237,0.000004482011,0.000003090647,0.0002323718,0.8922373,0.00008413738,0.001171582,0.1047618,0.0001131879],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01010091,0.0001848233,0.9875466,0.0003223355,0.0002012643,0.00007414867,0.0003127574,0.000108283,0.001148827],"genre_scores_gemma":[0.9149493,0.00006559368,0.07518961,0.0008386595,0.0003363825,0.0001115993,0.004113545,0.0000222106,0.004373095],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.912357,"threshold_uncertainty_score":0.3768071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05845003938614782,"score_gpt":0.3326989940173858,"score_spread":0.274248954631238,"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."}}