{"id":"W4408949905","doi":"10.1515/humor-2024-0094","title":"Stylistic techniques to generate humor: an analysis of humorous instructive examples cited in the <i>Gardens of Magic</i>","year":2025,"lang":"en","type":"article","venue":"Humor - International Journal of Humor Research","topic":"Humor Studies and Applications","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"MAGIC (telescope); Art; Linguistics; Literature; Philosophy; Astronomy; Physics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00298651,0.0001950038,0.0006444302,0.003148547,0.0001479227,0.00008597365,0.001917957,0.00007191129,0.000989681],"category_scores_gemma":[0.0004463842,0.0001491772,0.0002794142,0.002315808,0.0004384018,0.00006215855,0.0002804015,0.0006701587,0.00001107634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002114016,"about_ca_system_score_gemma":0.0001627259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001506651,"about_ca_topic_score_gemma":0.001340047,"domain_scores_codex":[0.9958994,0.0007377805,0.001263021,0.0003612853,0.001333252,0.0004052973],"domain_scores_gemma":[0.9961079,0.0007779759,0.0005074856,0.0005832197,0.001922166,0.0001012183],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.003848026,0.007425466,0.100537,0.0001377093,0.0140181,0.001154031,0.1101736,0.001596454,0.07581655,0.6297222,0.03175627,0.02381455],"study_design_scores_gemma":[0.002554904,0.001929402,0.8241225,0.0004047864,0.0008396828,0.0001980157,0.1052419,0.0004012909,0.01395668,0.01030815,0.03947563,0.0005670315],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9641049,0.0002642536,0.0004636558,0.001818073,0.0001726724,0.0004806498,0.000218663,0.00001181529,0.0324653],"genre_scores_gemma":[0.9971217,0.00009664629,0.0013279,0.0002698347,0.0001939015,0.00008505501,0.00002644321,0.00001814968,0.0008603722],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7235855,"threshold_uncertainty_score":0.9999235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1251951555974739,"score_gpt":0.5171660273573941,"score_spread":0.3919708717599203,"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."}}