{"id":"W4393077318","doi":"10.5430/wjel.v14n3p359","title":"The Impact of COVID-19 Pandemic Linguistic Landscapes on Lifestyle, Health Awareness and Behavior","year":2024,"lang":"en","type":"article","venue":"World Journal of English Language","topic":"Discourse Analysis and Cultural Communication","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Linguistics; Computer science; Geography; Medicine; Virology; Philosophy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001193972,0.0001803047,0.0001431803,0.0004722518,0.001264476,0.001769344,0.0002041298,0.000319665,0.001707169],"category_scores_gemma":[0.002454196,0.0001090738,0.000164871,0.0003560384,0.001222368,0.0008903837,0.00148598,0.0004501808,0.0001211107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001181734,"about_ca_system_score_gemma":0.0009217299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01414227,"about_ca_topic_score_gemma":0.02957333,"domain_scores_codex":[0.9990932,0.0005948685,0.00003949069,0.00005063485,0.00007882648,0.0001429781],"domain_scores_gemma":[0.9989184,0.000417384,0.0003103197,0.00004161522,0.0001518404,0.0001604704],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000254077,0.0001624429,0.5411329,0.0003109337,0.00007312363,0.001936117,0.4032362,0.000197312,0.004847552,0.002526801,0.001047007,0.04427551],"study_design_scores_gemma":[0.00000524373,0.0001585634,0.4197204,0.0001809982,0.00003212872,0.0003653515,0.5728254,0.0002598586,0.000511326,0.0005099915,0.005406411,0.00002447191],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976,0.0001685462,0.00006031397,0.0003155429,0.000006839341,0.000004086314,0.00002143848,8.982744e-7,0.001822278],"genre_scores_gemma":[0.999621,0.0001259343,0.00005224147,0.00004502985,0.000002769129,0.000002372407,0.00001022916,5.348891e-7,0.0001398997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01414227,"threshold_uncertainty_score":0.02811992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03395848059255815,"score_gpt":0.4150217240935548,"score_spread":0.3810632435009967,"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."}}