{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001702113,0.00006846526,0.0001755819,0.0001093849,0.0003461457,0.000160949,0.0002444313,0.00002344247,0.00005995667],"category_scores_gemma":[0.0017196,0.00003711275,0.0001531153,0.0003112561,0.0000909603,0.00009169791,0.00002099799,0.0002156117,8.487553e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001313239,"about_ca_system_score_gemma":0.000506436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002728516,"about_ca_topic_score_gemma":0.01412481,"domain_scores_codex":[0.9989752,0.0002873695,0.00028082,0.00006840705,0.0002527106,0.0001354542],"domain_scores_gemma":[0.9988189,0.0004813544,0.0002247338,0.0001261194,0.0001857185,0.0001631461],"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":[0.0001399271,0.000383223,0.1390664,0.0001351178,0.0005369229,0.0001140807,0.7150434,0.0005318522,0.000174139,0.03108541,0.013821,0.09896845],"study_design_scores_gemma":[0.001608574,0.001197115,0.08094367,0.001625185,0.0009624551,0.00004087749,0.3948251,0.000309975,0.00004192882,0.002221495,0.515515,0.0007085613],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9649923,0.02787843,0.000006369786,0.0008406988,0.0003174348,0.00008470723,0.00001218193,0.00002387979,0.005844033],"genre_scores_gemma":[0.9956887,0.003093846,0.00001264515,0.00005719344,0.0006108072,0.000001865396,0.00000365028,0.000005334929,0.0005259687],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5016941,"threshold_uncertainty_score":0.7881977,"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."}}