{"id":"W4412656952","doi":"10.1155/hbe2/7275480","title":"Combining Data Visualization and Interactive Narrative: A Persuasive Approach to Raise Climate Change Awareness","year":2025,"lang":"en","type":"article","venue":"Human Behavior and Emerging Technologies","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Dalhousie University; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Narrative; Visualization; Climate change; Computer science; Human–computer interaction; Psychology; Data science; Data mining; Art; Geology; Literature; Oceanography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003903403,0.001362136,0.0004285721,0.001591681,0.0006451661,0.002342266,0.00114019,0.001177766,0.006974263],"category_scores_gemma":[0.02049785,0.0003709469,0.0006409728,0.0005771775,0.0006741064,0.003253513,0.00298044,0.001236959,0.0008068102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002915851,"about_ca_system_score_gemma":0.0005252418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002783338,"about_ca_topic_score_gemma":0.0005266987,"domain_scores_codex":[0.9976808,0.00150043,0.0001387726,0.0002279275,0.0003529341,0.00009906173],"domain_scores_gemma":[0.9788466,0.01797362,0.000871603,0.0008318842,0.0007332987,0.0007428924],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002045525,0.003863686,0.01469049,0.006328418,0.0004393793,0.002415694,0.07999324,0.005049959,0.09039476,0.01470764,0.01642211,0.7636492],"study_design_scores_gemma":[0.003025977,0.01241852,0.04144918,0.005168941,0.002614261,0.01014552,0.04874957,0.1203382,0.1317679,0.07638918,0.546727,0.001205702],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.415397,0.002272928,0.5294533,0.005909768,0.0006629899,0.002519708,0.000580689,0.009055471,0.03414809],"genre_scores_gemma":[0.6245536,0.0009339565,0.3669572,0.0006437871,0.0001715187,0.001120929,0.0002590484,0.0002633994,0.005096362],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006974263,"threshold_uncertainty_score":0.02333117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5076394072598757,"score_gpt":0.5299933501316368,"score_spread":0.02235394287176118,"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."}}