{"id":"W6907160317","doi":"10.20380/gi2022.13","title":"I'm Not Sure: Designing for Ambiguity in Visual Analytics","year":2022,"lang":"en","type":"article","venue":"Canada Human-Computer Communications Society","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Sensemaking; Visual analytics; Ambiguity; Relevance (law); Visualization; Cultural analytics; Analytics; Meaning (existential)","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0008229536,0.0001668678,0.0002386582,0.0000880749,0.00150519,0.0001504955,0.003558824,0.00004011715,0.00001722809],"category_scores_gemma":[0.00002149585,0.0002085867,0.0001474776,0.0009331848,0.00007974567,0.0002539475,0.002203755,0.0003610648,8.807971e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000773484,"about_ca_system_score_gemma":0.001020937,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02594684,"about_ca_topic_score_gemma":0.09220745,"domain_scores_codex":[0.9981335,0.0002402704,0.0004719197,0.0003795987,0.0004248724,0.0003498493],"domain_scores_gemma":[0.9974867,0.0003153289,0.0001872739,0.001743538,0.000162278,0.0001049389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006418287,0.0009812216,0.003308175,0.0001024532,0.0002678229,0.000011558,0.005777904,0.02430006,0.0004435274,0.3450344,0.6038113,0.01595519],"study_design_scores_gemma":[0.0004788342,0.00003894076,0.001059626,0.000008061258,0.00001192316,0.000003447438,0.000263465,0.8842062,0.00006388762,0.0005651489,0.1130351,0.0002653682],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001330274,0.0001373965,0.9937726,0.00383788,0.0002424773,0.0003242138,0.00007315213,0.0001115922,0.0001704341],"genre_scores_gemma":[0.7055438,0.00004793992,0.2839264,0.00923101,0.00007552638,0.0001493276,0.000553994,0.00002938981,0.0004426674],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8599061,"threshold_uncertainty_score":0.9997947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07209690797647186,"score_gpt":0.3328927987694109,"score_spread":0.2607958907929391,"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."}}