{"id":"W4322769031","doi":"10.1177/14614456231154724","title":"Multimodal media: Framing climate change","year":2023,"lang":"en","type":"article","venue":"Discourse Studies","topic":"Language, Metaphor, and Cognition","field":"Psychology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Framing (construction); Multimodality; Computer science; Climate change; Selection (genetic algorithm); Frame (networking); Linguistics; Artificial intelligence; History; World Wide Web; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002710831,0.0001615938,0.0002498775,0.0001338081,0.0002104088,0.0000155975,0.00010318,0.00006625467,0.0002792521],"category_scores_gemma":[0.000103247,0.0001263453,0.00009121879,0.000288312,0.0001587558,0.0001012297,0.0001089489,0.0001275472,0.002712229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001406344,"about_ca_system_score_gemma":0.000004338932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006445214,"about_ca_topic_score_gemma":0.0001268542,"domain_scores_codex":[0.9988106,0.00007510919,0.000168902,0.0002981421,0.0001800198,0.0004671626],"domain_scores_gemma":[0.9994431,0.0001725157,0.00006078839,0.0002161732,0.00005872056,0.00004875849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001524991,0.0004095385,0.02049718,0.0001985519,0.00145794,0.001098229,0.5511601,0.000001587391,0.0002901,0.04279825,0.02904127,0.3528947],"study_design_scores_gemma":[0.001762047,0.0001181254,0.266993,0.0001727982,0.0003465231,0.0000139337,0.721643,0.00005942892,0.0001679747,0.005002333,0.003100814,0.0006199732],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9600189,0.009471255,0.00001973059,0.001724904,0.004375861,0.0003291626,0.0001429426,0.0004876265,0.0234296],"genre_scores_gemma":[0.9957185,0.001476007,0.00003981806,0.000340252,0.001183373,0.0003716832,0.00006719903,0.00002924446,0.000773877],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3522747,"threshold_uncertainty_score":0.9980643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08090561336044647,"score_gpt":0.3979010853176027,"score_spread":0.3169954719571562,"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."}}