{"id":"W4413054268","doi":"10.1109/mcg.2025.3566453","title":"What Can Visualization Research Do for Climate? A Workshop Report","year":2025,"lang":"en","type":"article","venue":"IEEE Computer Graphics and Applications","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Visualization; Stewardship (theology); Computer science; Data science; Sustainability; Data visualization; Narrative; Field (mathematics); Human–computer interaction; Political science; Ecology; Artificial intelligence","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":[0.04420131,0.00156084,0.0006613806,0.002752291,0.00441524,0.01341134,0.002649186,0.005783816,0.01328148],"category_scores_gemma":[0.05354064,0.0006477932,0.002181064,0.002281806,0.003867983,0.01438503,0.007331539,0.011008,0.004102278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003657575,"about_ca_system_score_gemma":0.007953025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003593602,"about_ca_topic_score_gemma":0.004471336,"domain_scores_codex":[0.9875436,0.007707594,0.0004344209,0.001207571,0.002247667,0.0008591093],"domain_scores_gemma":[0.9649574,0.01530873,0.0006678074,0.003041736,0.010124,0.005900474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001681943,0.0001621079,0.001725067,0.0008917315,0.00009019062,0.0004394989,0.0111478,0.00136061,0.002587028,0.0644876,0.7097585,0.2071817],"study_design_scores_gemma":[0.00002035556,0.00007649096,0.0006363086,0.001252301,0.00003474284,0.0001579408,0.006465467,0.0007030315,0.001260526,0.03095587,0.9583647,0.00007218939],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.009385548,0.06249818,0.05453273,0.7800534,0.05744202,0.0003930164,0.001182528,0.001152976,0.03335967],"genre_scores_gemma":[0.3484607,0.1862519,0.1628405,0.09030209,0.04991154,0.002500784,0.005681208,0.005887061,0.1481642],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04420131,"threshold_uncertainty_score":0.2337617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06348461584062814,"score_gpt":0.4140966688542162,"score_spread":0.3506120530135881,"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."}}