{"id":"W3124165796","doi":"10.5539/ijel.v11n2p91","title":"Allaying the Fears Metaphorically: Representation of Coronavirus Crisis in Saudi English Newspapers","year":2021,"lang":"en","type":"article","venue":"International Journal of English Linguistics","topic":"Language, Metaphor, and Cognition","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Newspaper; Representation (politics); Metaphor; Pandemic; Government (linguistics); Perspective (graphical); Social representation; Terrorism; Coronavirus disease 2019 (COVID-19); Psychology; Political science; Sociology; Media studies; Public relations; Linguistics; Social psychology; Politics; Disease; Medicine; Law; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0006625544,0.0001280261,0.0002964476,0.0002028984,0.00003433732,0.00006711411,0.0004341835,0.0001031481,0.0005769924],"category_scores_gemma":[0.05259819,0.0001052831,0.0002329078,0.0003207412,0.00006035078,0.00006829642,0.00006750515,0.0004342265,0.000005483312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009851427,"about_ca_system_score_gemma":0.0001193605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002012302,"about_ca_topic_score_gemma":0.00008323362,"domain_scores_codex":[0.9977998,0.0002938789,0.0008552484,0.0001893561,0.000689586,0.0001722046],"domain_scores_gemma":[0.9816358,0.0007003064,0.0006243628,0.0002134451,0.01676173,0.00006432397],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004936136,0.005768825,0.136079,0.0001438197,0.01122212,0.008333683,0.3177295,0.005955199,0.003392279,0.2425258,0.1607749,0.1031387],"study_design_scores_gemma":[0.00880357,0.0004661458,0.07833306,0.0003752018,0.001074447,0.0001059466,0.1640412,0.0001301537,0.01199899,0.01867064,0.7151892,0.0008114625],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6150075,0.005824961,0.001507101,0.0005359638,0.09497543,0.0002927133,0.0001212736,0.00005445979,0.2816806],"genre_scores_gemma":[0.9906047,0.0003629224,0.001098423,0.0006099342,0.007069694,0.000004066665,0.00002504814,0.00002033259,0.000204852],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5544143,"threshold_uncertainty_score":0.9553822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0362583881675388,"score_gpt":0.3483295804127699,"score_spread":0.3120711922452311,"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."}}