{"id":"W3096512234","doi":"10.3390/ijgi9110644","title":"Seeing Climate Change: A Framework for Understanding Visualizations for Climate Adaptation","year":2020,"lang":"en","type":"article","venue":"ISPRS International Journal of Geo-Information","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of the Fraser Valley; University of Victoria","funders":"Marine Environmental Observation Prediction and Response Network","keywords":"Geovisualization; Interactivity; Adaptation (eye); Visualization; Data science; Computer science; Pace; Process (computing); Climate change; Human–computer interaction; Information visualization; Geography; Multimedia; Ecology; Psychology; Data mining","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00104983,0.000109052,0.0001631515,0.0002694204,0.0006464245,0.0004026772,0.0004213766,0.0001274555,0.0001268049],"category_scores_gemma":[0.001434786,0.0001159218,0.0001777997,0.0002209809,0.00005583993,0.003688548,0.00005218195,0.0001402007,0.00002556751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004130179,"about_ca_system_score_gemma":0.00009452042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003125479,"about_ca_topic_score_gemma":0.00006371016,"domain_scores_codex":[0.9983709,0.00007987236,0.0006981154,0.00007323872,0.000532689,0.0002452153],"domain_scores_gemma":[0.9971443,0.0004210639,0.0009380026,0.00007801406,0.00128669,0.0001319368],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006329935,0.00004341236,0.0005584439,0.0001277633,0.00007525785,4.022556e-7,0.155175,0.0007380263,0.00004099626,0.7902978,0.001210133,0.05109974],"study_design_scores_gemma":[0.00393565,0.0005519702,0.001101194,0.0008244555,0.000178099,0.00001337824,0.2337807,0.1339754,0.00006439562,0.06226469,0.5626997,0.0006103943],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001339977,0.0000588203,0.9640402,0.03025383,0.001567526,0.0006937366,0.0003053981,0.00006001805,0.001680551],"genre_scores_gemma":[0.9562605,0.005450512,0.02988331,0.005861192,0.001834942,0.0001027054,0.0005841579,0.00001799853,0.000004650305],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9549205,"threshold_uncertainty_score":0.497184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6239123159481448,"score_gpt":0.5078467090351536,"score_spread":0.1160656069129912,"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."}}