{"id":"W3083632304","doi":"10.1109/vis47514.2020.00023","title":"Designing for Ambiguity: Visual Analytics in Avalanche Forecasting","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Simon Fraser University","keywords":"Sensemaking; Ambiguity; Visual analytics; Data science; Computer science; Variety (cybernetics); Visualization; Analytics; Negotiation; Domain (mathematical analysis); Knowledge management; Management science; Artificial intelligence; Engineering; Political science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.01612984,0.001306245,0.0006908061,0.003805904,0.003229138,0.01490996,0.00219596,0.002372818,0.006136937],"category_scores_gemma":[0.05732328,0.0008526126,0.001059102,0.00306068,0.005105447,0.01288686,0.00714451,0.002719028,0.001085471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002170595,"about_ca_system_score_gemma":0.002743182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004200253,"about_ca_topic_score_gemma":0.004030531,"domain_scores_codex":[0.990589,0.00671627,0.0003918576,0.0006638969,0.001258053,0.0003808605],"domain_scores_gemma":[0.962292,0.02974641,0.001497563,0.003110755,0.002432279,0.0009209636],"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":[0.0006616128,0.0002423194,0.01244724,0.00184168,0.0001215229,0.001770153,0.2824547,0.02181061,0.01688961,0.235493,0.02340318,0.4028644],"study_design_scores_gemma":[0.0001465566,0.0001974222,0.004593095,0.001939338,0.0001179828,0.001072235,0.07441851,0.133744,0.01292192,0.5704373,0.2000794,0.0003323631],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07388908,0.0009903084,0.8820886,0.009243894,0.0002352193,0.0005762486,0.0005378276,0.005293871,0.02714491],"genre_scores_gemma":[0.412021,0.0006014559,0.5824901,0.000544191,0.00008260446,0.000369272,0.0004296309,0.0009241785,0.002537579],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01612984,"threshold_uncertainty_score":0.08530372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.154398369162422,"score_gpt":0.3603589449248796,"score_spread":0.2059605757624577,"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."}}