{"id":"W4367300515","doi":"10.5430/wjel.v13n4p68","title":"Phraseological Units of the English Language in Newspaper Articles on the Topic of Culture: Structural and Semantic Aspects","year":2023,"lang":"en","type":"article","venue":"World Journal of English Language","topic":"Language, Communication, and Linguistic Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Phraseology; Newspaper; Scope (computer science); Computer science; Linguistics; Diversity (politics); Comprehension; Psychology; Sociology","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":[0.00183403,0.0003211223,0.0003236796,0.006090272,0.001498138,0.005884334,0.0003366237,0.0004060413,0.003267996],"category_scores_gemma":[0.01006356,0.000259263,0.000253687,0.006972579,0.003659765,0.004085789,0.001660511,0.0008042706,0.0005257998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00120725,"about_ca_system_score_gemma":0.0009822213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006146989,"about_ca_topic_score_gemma":0.001064434,"domain_scores_codex":[0.9969861,0.001661918,0.0003926786,0.0002862553,0.0005345565,0.0001384944],"domain_scores_gemma":[0.9812025,0.01309268,0.002821045,0.0008387024,0.001725928,0.0003191325],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0005561,0.0002440296,0.07692412,0.003292606,0.0001432712,0.00308455,0.534587,0.000292072,0.04443889,0.1045795,0.003579244,0.2282787],"study_design_scores_gemma":[0.0000320581,0.0003933056,0.4243988,0.002429218,0.0002766177,0.005706631,0.39506,0.001692368,0.01072022,0.03438795,0.1247462,0.0001565983],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8925713,0.006263511,0.01902134,0.001642115,0.0005023081,0.0002428561,0.0008831015,0.00008395468,0.07878944],"genre_scores_gemma":[0.9904743,0.001323643,0.004784192,0.0001248859,0.0002093768,0.0001073469,0.0003458311,0.00005842622,0.002571997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006090272,"threshold_uncertainty_score":0.01093256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02221353882662791,"score_gpt":0.2913243173913058,"score_spread":0.2691107785646779,"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."}}