{"id":"W2060079273","doi":"10.1080/17524032.2014.906478","title":"Visual Climate Change Communication: From Iconography to Locally Framed 3D Visualization","year":2014,"lang":"en","type":"article","venue":"Environmental Communication","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Climate change; Perception; Adaptation (eye); Visualization; Environmental resource management; Iconography; Empirical research; Computer science; Geography; Environmental planning; Psychology; Environmental science; Artificial intelligence; 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":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00120874,0.0002045153,0.0002155999,0.0001663022,0.001622395,0.0001836913,0.001165573,0.000206341,0.001859115],"category_scores_gemma":[0.00009770713,0.0002466164,0.00009056168,0.0003509931,0.0004266854,0.0005901859,0.0006151715,0.0002571131,0.001026763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002853421,"about_ca_system_score_gemma":0.00001142001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001799222,"about_ca_topic_score_gemma":0.003609488,"domain_scores_codex":[0.9967314,0.001750631,0.0004298126,0.0003045248,0.0004378209,0.0003458064],"domain_scores_gemma":[0.9974822,0.0003971112,0.0002443898,0.00161192,0.00003579675,0.0002285997],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002270119,0.001650754,0.08349024,0.00002775048,0.00007521555,3.354575e-7,0.1992369,0.0000608506,0.00477576,0.05243587,0.001598573,0.6564207],"study_design_scores_gemma":[0.001129674,0.0002009319,0.2439142,0.0002517684,0.00007178063,7.266769e-7,0.02069561,0.005427981,0.0002067387,0.002610614,0.7245727,0.0009172324],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8635959,0.002866605,0.009899502,0.02040332,0.0004106998,0.00304755,0.0001898325,0.0009065575,0.09868004],"genre_scores_gemma":[0.9662336,0.02394993,0.004018159,0.003212144,0.0001634995,0.000304368,0.002013179,0.00003860138,0.00006652661],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7229741,"threshold_uncertainty_score":0.9999986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1736763627750322,"score_gpt":0.3996286532432318,"score_spread":0.2259522904681996,"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."}}