{"id":"W2181352558","doi":"10.3968/7778","title":"A Study of the Generation of English Jokes From Cognitive Metonymy","year":2015,"lang":"en","type":"article","venue":"Studies in literature and language","topic":"Language, Metaphor, and Cognition","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metonymy; Linguistics; Cognitive linguistics; Contiguity; Cognitive semantics; Psychology; Cognition; Pragmatics; Computer science; Philosophy; Metaphor","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":[0.001905689,0.0002555275,0.0002432915,0.001014901,0.001415124,0.002111026,0.0004260954,0.0005621647,0.001665679],"category_scores_gemma":[0.01472366,0.0001978549,0.000272595,0.000574087,0.002502907,0.002190007,0.001378993,0.000942036,0.0001365348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009894416,"about_ca_system_score_gemma":0.0007358498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001295409,"about_ca_topic_score_gemma":0.001736401,"domain_scores_codex":[0.9981672,0.00114198,0.00009897816,0.000203503,0.0002781707,0.0001100802],"domain_scores_gemma":[0.9903824,0.007071183,0.001130633,0.0003760693,0.0007417207,0.0002980269],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001863474,0.000243053,0.03197378,0.0005371615,0.00003997889,0.002037819,0.89322,0.0002465387,0.01206688,0.03284862,0.001502349,0.02509739],"study_design_scores_gemma":[0.0001571263,0.0005364217,0.1824255,0.0003628645,0.0001136011,0.003934759,0.7359222,0.004825041,0.005280154,0.03346395,0.03281258,0.0001658247],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9832697,0.0003764637,0.003471265,0.0004484162,0.00003580632,0.00006595135,0.00002940082,0.00001351375,0.01228962],"genre_scores_gemma":[0.9972398,0.0001034912,0.00150319,0.00008372314,0.0000106826,0.00004313053,0.00003018915,0.00001097105,0.0009747148],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002111026,"threshold_uncertainty_score":0.01007837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05242705067900942,"score_gpt":0.3490790665392032,"score_spread":0.2966520158601938,"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."}}