{"id":"W3212441218","doi":"10.1080/01296612.2021.1997526","title":"Framing environmental news in Bangladesh","year":2021,"lang":"en","type":"article","venue":"Media Asia","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Framing (construction); Environmental communication; Climate change; News media; Political science; Environmental planning; Environmental resource management; Public relations; Geography; Sociology; Environmental science; Media studies","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000162847,0.00003381832,0.00005319255,0.00002768588,0.0001031293,0.00002532939,0.00009805088,0.00005468435,0.005511966],"category_scores_gemma":[0.0001048391,0.00003857934,0.00002106757,0.0001173896,0.00006625164,0.0000704158,0.00003783266,0.00008751796,0.0002394473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009776045,"about_ca_system_score_gemma":0.00003165131,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003832804,"about_ca_topic_score_gemma":0.03697949,"domain_scores_codex":[0.9994289,0.0001530596,0.00008012899,0.00008383321,0.0001366015,0.000117459],"domain_scores_gemma":[0.9997149,0.00008315954,0.00001766146,0.0001301587,0.000004759246,0.00004934628],"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":[0.0000051171,0.0001851066,0.2987936,0.000007120031,0.00000386056,0.00003118631,0.2941294,0.00000127348,0.00789081,0.003181289,0.001932818,0.3938384],"study_design_scores_gemma":[0.0002320345,0.000003691771,0.2208741,0.00001857886,0.000003084565,0.000001162863,0.1772911,0.0000305092,0.0001913404,0.0004562391,0.600791,0.0001071758],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9065116,0.0005322272,0.00001323784,0.006248839,0.0003089047,0.00006400417,0.000005849562,0.00002907403,0.08628628],"genre_scores_gemma":[0.9946816,0.003984011,0.0002164766,0.0002811751,0.0001558823,0.000007785375,0.00007968803,0.000004198075,0.0005891996],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5988582,"threshold_uncertainty_score":0.9953972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2358671301330743,"score_gpt":0.3892000278007781,"score_spread":0.1533328976677038,"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."}}