{"id":"W4408534109","doi":"10.5539/ijel.v15n2p37","title":"Variation in Phrase-Frames and Rhetorical Moves: A Corpus-Based Approach to a Non-Academic Genre","year":2025,"lang":"en","type":"article","venue":"International Journal of English Linguistics","topic":"Translation Studies and Practices","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Variation (astronomy); Rhetorical question; Phrase; Linguistics; Computer science; Artificial intelligence; Natural language processing; 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":[0.007618895,0.0003721281,0.0004899598,0.01461111,0.003644771,0.004727467,0.0012717,0.0008682353,0.004275493],"category_scores_gemma":[0.03536912,0.0003741192,0.0004275071,0.01665247,0.003862973,0.003044723,0.003747523,0.001594549,0.0009250781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002152854,"about_ca_system_score_gemma":0.002296339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007406575,"about_ca_topic_score_gemma":0.01438504,"domain_scores_codex":[0.9930773,0.003700337,0.0006497432,0.001153881,0.001247781,0.0001710077],"domain_scores_gemma":[0.9628702,0.0274364,0.002434445,0.002853498,0.003920478,0.0004849868],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0004762835,0.0004961019,0.08310914,0.005407943,0.0002079152,0.00225688,0.4413054,0.002362363,0.02762436,0.108569,0.01903441,0.3091503],"study_design_scores_gemma":[0.0001414789,0.0004569262,0.2438897,0.003141395,0.000327851,0.002267573,0.1939799,0.0112752,0.01299434,0.0260075,0.5052875,0.0002307671],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.776938,0.006077453,0.1063358,0.001721945,0.0005565637,0.002760336,0.0184454,0.0002939235,0.08687059],"genre_scores_gemma":[0.8470001,0.002204543,0.1208964,0.0004077044,0.0003021189,0.005908252,0.01510389,0.0004122011,0.007764811],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01461111,"threshold_uncertainty_score":0.04029304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03509198157736877,"score_gpt":0.3110563645005499,"score_spread":0.2759643829231811,"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."}}