{"id":"W4391284333","doi":"10.5539/ijel.v13n7p53","title":"Free Institutional Internet References and the Language of Covid-19","year":2023,"lang":"en","type":"article","venue":"International Journal of English Linguistics","topic":"linguistics and terminology studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); The Internet; Business; Computer science; Internet privacy; Chemistry; Medicine; Internal medicine; World Wide Web","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":[0.01183241,0.0005871595,0.0007636943,0.01432779,0.004413196,0.01668251,0.002014843,0.001994435,0.03532816],"category_scores_gemma":[0.0448615,0.0004994034,0.0002909981,0.0198836,0.008040095,0.0158471,0.01092638,0.003221979,0.01027473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004771695,"about_ca_system_score_gemma":0.004352093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005288719,"about_ca_topic_score_gemma":0.006733158,"domain_scores_codex":[0.9848856,0.00681184,0.002334487,0.001018068,0.004281946,0.0006680774],"domain_scores_gemma":[0.9575318,0.02408249,0.004205799,0.005756485,0.007304904,0.001118411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00007434809,0.00002264096,0.0007053776,0.0007278319,0.000007309508,0.0002858936,0.02191882,0.0001353084,0.0006031473,0.8334363,0.08857939,0.05350358],"study_design_scores_gemma":[0.000005145609,0.000009767175,0.0006090003,0.0005841507,0.000004094964,0.0001492108,0.004086036,0.000096544,0.0003322654,0.0162731,0.97783,0.00002070035],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02681106,0.02072983,0.04669549,0.02788307,0.01102481,0.0003990197,0.009837176,0.001126282,0.8554932],"genre_scores_gemma":[0.5460244,0.02718716,0.07975912,0.01188886,0.006857987,0.001992939,0.02805705,0.004764281,0.2934682],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03532816,"threshold_uncertainty_score":0.1181844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05501951372777379,"score_gpt":0.3048676616751581,"score_spread":0.2498481479473842,"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."}}