{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00311771,0.001148231,0.001065993,0.004738145,0.0007959438,0.005334366,0.001652989,0.001727062,0.002809929],"category_scores_gemma":[0.01450393,0.0007847975,0.001357166,0.003162929,0.001138965,0.005091527,0.004917545,0.001915802,0.0006397372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007960572,"about_ca_system_score_gemma":0.0008914082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002029019,"about_ca_topic_score_gemma":0.002207814,"domain_scores_codex":[0.9976431,0.0007742922,0.0002165576,0.0003830596,0.0008419535,0.0001409381],"domain_scores_gemma":[0.9905149,0.005393443,0.0008832336,0.001252791,0.001546987,0.0004086735],"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":[0.001462752,0.0002798662,0.00780552,0.002184973,0.0004168521,0.002324423,0.006210779,0.2013908,0.04181267,0.1119635,0.03821458,0.5859333],"study_design_scores_gemma":[0.00006138982,0.00009622256,0.001684693,0.0002070624,0.00006977479,0.0008350904,0.001324741,0.790248,0.0159074,0.1628652,0.02659773,0.000102617],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01373209,0.00089196,0.9771768,0.002114972,0.0001142854,0.00009547115,0.0009403247,0.002835322,0.002098655],"genre_scores_gemma":[0.2480128,0.002130643,0.7449645,0.0004148861,0.0002105026,0.0001723966,0.002302115,0.0003803724,0.001411727],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005334366,"threshold_uncertainty_score":0.01648825,"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."}}