{"id":"W2592963638","doi":"10.25134/erjee.v5i1.396","title":"FIGURATIVE LANGUAGE IN ENGLISH STAND-UP COMEDY","year":2016,"lang":"en","type":"article","venue":"English Review Journal of English Education","topic":"Language, Metaphor, and Cognition","field":"Psychology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Literal and figurative language; Comedy; Hyperbole; Linguistics; Irony; Literature; Art; Metaphor; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001726583,0.0002903881,0.0002650723,0.001005937,0.003694265,0.002816149,0.0009144759,0.0006645698,0.005729801],"category_scores_gemma":[0.004220733,0.0001691194,0.0001833963,0.000824853,0.005163171,0.002448977,0.002162116,0.000916808,0.0004541099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003156023,"about_ca_system_score_gemma":0.001462167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009718768,"about_ca_topic_score_gemma":0.01934891,"domain_scores_codex":[0.9972842,0.001709267,0.00007427586,0.0002074269,0.0003895121,0.0003353712],"domain_scores_gemma":[0.9974232,0.001544815,0.0002969871,0.00008528808,0.0003550787,0.0002947419],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002781506,0.00004301024,0.004987794,0.0002662982,0.000003930275,0.001903358,0.9764841,0.0000211949,0.002212038,0.005299496,0.001720802,0.007030071],"study_design_scores_gemma":[0.000003886372,0.00003164711,0.008034431,0.0001337029,0.000004350662,0.0005713537,0.9480206,0.00006568562,0.0004590925,0.0004097927,0.04224923,0.00001615915],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9658739,0.0007400248,0.002056133,0.001329294,0.00005481645,0.0001051674,0.0001770492,0.00002357237,0.02964011],"genre_scores_gemma":[0.9920661,0.0002956081,0.0007453633,0.0004051376,0.00001571325,0.00008640089,0.0000891915,0.00002047005,0.006276017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009718768,"threshold_uncertainty_score":0.02289861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0183610123701449,"score_gpt":0.3320654751002068,"score_spread":0.3137044627300619,"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."}}