{"id":"W4391264808","doi":"10.53103/cjlls.v4i1.142","title":"Etymological Semiotic Changes Unfolding in the Digital World - Transforming the English Language in the Apocalyptic Times – The Transformation of Language from the Corona Virus to Present-Day AI Infiltration into the Educational Domain","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Language and Literature Studies","topic":"Language, Communication, and Linguistic Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Semiotics; Corona (planetary geology); Coronavirus disease 2019 (COVID-19); Transformation (genetics); Infiltration (HVAC); English language; Linguistics; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Philosophy; Chemistry; Physics; Materials science; Medicine; Pathology; Composite material; Astrobiology","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":[0.001466421,0.0003745247,0.0001794297,0.001282521,0.00562049,0.006932645,0.0005138984,0.001579171,0.005288674],"category_scores_gemma":[0.003245498,0.0001033942,0.0002057055,0.001194316,0.04415341,0.006468348,0.002969835,0.002998802,0.001006848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004481102,"about_ca_system_score_gemma":0.002792731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007407592,"about_ca_topic_score_gemma":0.007230426,"domain_scores_codex":[0.9977807,0.001302546,0.00006773777,0.0002124082,0.0003988949,0.0002377256],"domain_scores_gemma":[0.9986595,0.0004952525,0.0001807287,0.000178813,0.0003335773,0.0001521698],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003026142,0.00001054228,0.0003657219,0.00005248924,0.000002411548,0.0003465359,0.08113896,0.00004437341,0.0005768522,0.9082425,0.004757003,0.00443231],"study_design_scores_gemma":[0.00002658226,0.00004588865,0.001979145,0.000219976,0.000008402566,0.001772115,0.1394565,0.0003186705,0.001104584,0.2015258,0.6535087,0.00003370184],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09207696,0.005016916,0.01775068,0.0437714,0.002064986,0.00008645761,0.000295842,0.0001020556,0.8388348],"genre_scores_gemma":[0.9495638,0.001258562,0.00214642,0.002334747,0.0004217529,0.00006595186,0.00008073341,0.00007750319,0.04405052],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007407592,"threshold_uncertainty_score":0.03251284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01507438157709008,"score_gpt":0.311586216412667,"score_spread":0.2965118348355769,"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."}}