{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003172512,0.0007509724,0.000263157,0.002545163,0.005730673,0.005875935,0.0008118157,0.001841722,0.007211754],"category_scores_gemma":[0.006327998,0.0002046144,0.000445847,0.001759186,0.01238163,0.007404787,0.004371631,0.002173814,0.0004693687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002859243,"about_ca_system_score_gemma":0.0007449339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003263825,"about_ca_topic_score_gemma":0.003870838,"domain_scores_codex":[0.998007,0.001571456,0.00003459323,0.000115531,0.0001664526,0.0001049209],"domain_scores_gemma":[0.995428,0.003765847,0.0002289647,0.0002209557,0.0002299233,0.0001261999],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006416077,0.00002396857,0.0006898894,0.0002564407,0.00001304463,0.0005715801,0.1593036,0.0007079017,0.001287537,0.8092372,0.003702988,0.02414166],"study_design_scores_gemma":[0.00003903573,0.00008592879,0.002279429,0.001290495,0.00005106887,0.0006560663,0.1619853,0.005026555,0.004034148,0.4028437,0.421628,0.00008025187],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1484596,0.0105325,0.1682926,0.03262615,0.001571277,0.0001874526,0.0002987559,0.0003899861,0.6376417],"genre_scores_gemma":[0.9688486,0.002475008,0.01857485,0.0007195659,0.0003505874,0.0001400541,0.00007934099,0.0001207615,0.008691188],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007211754,"threshold_uncertainty_score":0.0241257,"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."}}