{"id":"W2344932030","doi":"10.5539/ells.v6n2p141","title":"An Analysis of English Verbal Humor Based on Language Memes","year":2016,"lang":"en","type":"article","venue":"English Language and Literature Studies","topic":"Humor Studies and Applications","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Memetics; Linguistics; Phenomenon; Variation (astronomy); Psychology; Replication (statistics); Computer science; Cognitive science; Cognitive psychology; Artificial intelligence; Epistemology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001994345,0.0002163725,0.0004710169,0.000244787,0.0001357921,0.00003406461,0.0001522666,0.00008381391,0.0003228122],"category_scores_gemma":[0.0004461116,0.0001316374,0.0001453228,0.0006169979,0.0001538825,0.00006051887,0.00004379982,0.0001215999,0.000004066153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001764126,"about_ca_system_score_gemma":0.000005855007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002384942,"about_ca_topic_score_gemma":0.00007721266,"domain_scores_codex":[0.9988083,0.0001105914,0.0002425974,0.0004239295,0.0001590213,0.0002555176],"domain_scores_gemma":[0.9986433,0.000354123,0.0001002827,0.0005501455,0.0002790443,0.00007312089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008741129,0.0002270751,0.003853982,0.00003097247,0.001714012,0.00006012598,0.9745894,0.000004639366,0.0005093846,0.009221208,0.003841194,0.005860576],"study_design_scores_gemma":[0.001853853,0.0005419118,0.02166821,0.0002303306,0.001274487,6.71357e-7,0.9381886,0.00002795773,0.0008641005,0.00002945357,0.03478265,0.0005377647],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9668508,0.01375139,0.00002132735,0.0001478881,0.0004892155,0.0001684226,0.000608634,0.0001298891,0.01783239],"genre_scores_gemma":[0.9973702,0.0001195538,0.0001028524,0.0002215672,0.0008372116,0.00008240099,0.00006920557,0.00001742921,0.001179527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03640081,"threshold_uncertainty_score":0.5368018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008420158326500227,"score_gpt":0.3237378938176299,"score_spread":0.3153177354911297,"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."}}