{"id":"W4291006851","doi":"10.1136/tc-2022-057517","title":"Lucky Strike advertising: the use of ‘anaphora’ as a rhetorical device to highlight ‘smooth’ as a cigarette product descriptor","year":2022,"lang":"en","type":"article","venue":"Tobacco Control","topic":"Digital Communication and Language","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Advertising; Anaphora (linguistics); Rhetorical question; Product (mathematics); Rhetoric; Rhetorical device; Business; Psychology; Linguistics; Art; Computer science; Artificial intelligence; Literature; Mathematics; Philosophy; Resolution (logic)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004417762,0.0001846028,0.0002747742,0.0001253821,0.0003058249,0.0003167276,0.002361073,0.00002823809,0.0001618359],"category_scores_gemma":[0.0004229068,0.0001431647,0.0001299596,0.0009227365,0.00004746682,0.0005362249,0.0009177234,0.0002787694,0.00007658543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001348792,"about_ca_system_score_gemma":0.0002055002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004701176,"about_ca_topic_score_gemma":0.00005040562,"domain_scores_codex":[0.9978393,0.0003363173,0.0003880744,0.0004279951,0.0006678443,0.0003404979],"domain_scores_gemma":[0.9973627,0.0003130072,0.0001682925,0.001839753,0.0001539497,0.0001623395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009075166,0.001512127,0.004033345,0.00003165526,0.0004694605,0.0001743058,0.008467845,0.002118161,0.01190708,0.5476462,0.1091338,0.3135985],"study_design_scores_gemma":[0.0007148597,0.000284421,0.002295104,0.00001311146,0.00002311573,0.00002661742,0.0001289255,0.0008205705,0.0008876122,0.0002285278,0.9943322,0.0002449185],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.776635,0.00457614,0.03180384,0.1343265,0.001792564,0.004903493,0.0001417781,0.001073686,0.04474701],"genre_scores_gemma":[0.9852535,0.000005252485,0.0009123667,0.01175444,0.00004175454,0.0001513966,0.000004712952,0.00001720632,0.001859387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8851984,"threshold_uncertainty_score":0.5838085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03791299364714167,"score_gpt":0.2608322875913976,"score_spread":0.222919293944256,"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."}}