{"id":"W4393969098","doi":"10.48550/arxiv.2404.02743","title":"IEEE VIS Workshop on Visualization for Climate Action and Sustainability","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Visualization; Sustainability; Visual analytics; Action (physics); Context (archaeology); Storytelling; Engineering ethics; Computer science; Data science; Knowledge management; Public relations; Political science; Engineering; Geography; Ecology","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":[],"consensus_categories":[],"category_scores_codex":[0.0006582388,0.0001543706,0.0001612022,0.0001896705,0.0005671216,0.0001552285,0.0002361705,0.0003424361,0.00009765675],"category_scores_gemma":[0.000169568,0.0001868427,0.0001150835,0.0003118475,0.0001941972,0.0001170083,0.0003105291,0.000297067,0.00002799531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007697006,"about_ca_system_score_gemma":0.0001416933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004390588,"about_ca_topic_score_gemma":0.002231068,"domain_scores_codex":[0.9987825,0.0002642106,0.0001304156,0.0005170043,0.00006920004,0.0002366896],"domain_scores_gemma":[0.9988799,0.0002605248,0.0001204822,0.0003806168,0.000260078,0.0000983604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005954357,0.0003256068,0.002623019,0.002731218,0.00009574959,0.00001052066,0.02858656,0.01168925,0.00003639168,0.929078,0.002094082,0.02213417],"study_design_scores_gemma":[0.001296427,0.0002065718,0.003377294,0.0009725984,0.0006171211,8.479328e-7,0.09828651,0.2702928,0.00005337867,0.5069828,0.1163267,0.00158694],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9737882,0.0001139161,0.01037313,0.00171458,0.001229705,0.001429401,0.00009922896,0.0004057149,0.01084614],"genre_scores_gemma":[0.9856259,0.01214541,0.00001259481,0.00008053138,0.0001946858,0.000007591663,0.0001126154,0.00001825797,0.001802462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4220952,"threshold_uncertainty_score":0.7619225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5175105578951946,"score_gpt":0.3957267954442801,"score_spread":0.1217837624509145,"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."}}