{"id":"W4400734226","doi":"10.1111/faam.12409","title":"Making sense of climate change in central government annual reports and accounts: A comparative case study between the United Kingdom and Norway","year":2024,"lang":"en","type":"article","venue":"Financial Accountability and Management","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Queen's University; Universitetet i Agder; Queen's University Belfast; Klima- og miljødepartementet; Government of the United Kingdom","keywords":"Climate change; Government (linguistics); Political science; Regional science; Geography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00152362,0.0001060069,0.0001869429,0.0000665929,0.0003617647,0.0001219911,0.00005695723,0.0000466707,0.0000262974],"category_scores_gemma":[0.00002527373,0.00008686907,0.00002004127,0.00031449,0.0002421708,0.0002665331,0.0002984023,0.0001163811,6.36225e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001312618,"about_ca_system_score_gemma":0.00001113485,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01740017,"about_ca_topic_score_gemma":0.08723802,"domain_scores_codex":[0.9987757,0.0002269113,0.0002856475,0.0002599197,0.0002485217,0.000203265],"domain_scores_gemma":[0.999506,0.0001598467,0.00008042403,0.0001834732,0.00003524395,0.00003502528],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005971372,0.0002270187,0.4822727,0.0003667219,0.00002828819,0.0002348928,0.4679033,0.000001598499,0.000001512422,0.004637286,0.00005054067,0.04421652],"study_design_scores_gemma":[0.0002079625,0.00005665719,0.8149985,0.0001353224,0.00005788488,0.00001695242,0.1586275,0.0001199747,3.04921e-7,0.0001693056,0.02550167,0.0001079639],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969559,0.000195062,0.000007437607,0.0005434671,0.0001155584,0.001191036,0.0001061454,0.00001833979,0.0008670025],"genre_scores_gemma":[0.9976106,0.002073368,0.00002069258,0.0001163347,0.00008187796,0.00008080617,0.000006502477,0.000004172557,0.00000566987],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3327259,"threshold_uncertainty_score":0.9891431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3757899628113634,"score_gpt":0.4585979910375911,"score_spread":0.08280802822622774,"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."}}