{"id":"W3043295041","doi":"10.5539/ijel.v10n5p145","title":"Key Creative Features of Syntactic Design in English-Language Advertising Discourse","year":2020,"lang":"en","type":"article","venue":"International Journal of English Linguistics","topic":"Discourse Analysis in Language Studies","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"RUDN University; Ministry of Education and Science of the Russian Federation","keywords":"Rhetorical question; Sentence; Surprise; Computer science; Syntax; Linguistics; Comprehension; Rhetorical device; Key (lock); Natural language processing; Psychology; Communication","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":[0.006668426,0.0005346658,0.0003294167,0.002716171,0.001740117,0.004587832,0.0007025389,0.0006262945,0.002203395],"category_scores_gemma":[0.01812975,0.0004873177,0.000382991,0.001798015,0.008302812,0.004647234,0.001797756,0.001128223,0.0002430235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001397462,"about_ca_system_score_gemma":0.001277407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005526253,"about_ca_topic_score_gemma":0.0006534153,"domain_scores_codex":[0.9930204,0.005095126,0.0004654563,0.0004556624,0.0007808637,0.0001826289],"domain_scores_gemma":[0.9770865,0.01801154,0.001931612,0.00150826,0.001234177,0.0002278014],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003140934,0.0001598638,0.01918473,0.001019674,0.0000439459,0.0009005087,0.2736029,0.001063392,0.02626776,0.5580027,0.001107752,0.1183327],"study_design_scores_gemma":[0.0001855136,0.0007735517,0.08476064,0.001325847,0.0003572576,0.006801457,0.1929214,0.02774313,0.04375075,0.5457922,0.09531975,0.0002684528],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6834397,0.001362395,0.2212243,0.002934959,0.0000981888,0.0006232204,0.0002850083,0.0004224762,0.08960976],"genre_scores_gemma":[0.9724089,0.0001929875,0.02582583,0.00006451535,0.00004474977,0.000157589,0.0000553955,0.00006315502,0.001186821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006668426,"threshold_uncertainty_score":0.03526646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02259865964572577,"score_gpt":0.3030517935328801,"score_spread":0.2804531338871543,"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."}}