{"id":"W4412887688","doi":"10.18653/v1/2025.findings-acl.1163","title":"BottleHumor: Self-Informed Humor Explanation using the Information Bottleneck Principle","year":2025,"lang":"en","type":"article","venue":"","topic":"Humor Studies and Applications","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research","keywords":"Bottleneck; Computer science; Information bottleneck method; Artificial intelligence; Mutual information","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.000175793,0.0001060293,0.0001048137,0.00009497356,0.0004565225,0.00006271892,0.000203853,0.0000531912,0.0006395459],"category_scores_gemma":[0.00003377449,0.00007308301,0.00005161914,0.0003475618,0.0000383158,0.0001760731,0.00007796264,0.000101545,0.0003951704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001021724,"about_ca_system_score_gemma":0.00006956766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001336338,"about_ca_topic_score_gemma":0.00006421861,"domain_scores_codex":[0.999195,0.00002464762,0.0003244054,0.0001143828,0.0001203005,0.0002212268],"domain_scores_gemma":[0.9993271,0.0001035599,0.0001054154,0.0003738232,0.00006268854,0.00002743536],"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":[0.00001318325,0.00006551261,0.001640573,0.00002155198,0.0001205804,3.164301e-7,0.006581581,0.0000584923,0.00004529182,0.9505535,0.03669548,0.004203882],"study_design_scores_gemma":[0.0005262576,0.00001968433,0.0229085,0.00001054926,0.00004622733,0.000005286319,0.01222922,0.002110481,0.000150398,0.0007506271,0.9611037,0.000139061],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1584773,0.00008655221,0.01798733,0.003641816,0.0007297265,0.0008902394,0.00001837025,0.0003239278,0.8178447],"genre_scores_gemma":[0.9905862,0.0000209622,0.002014769,0.001936811,0.00007640624,0.0002476455,0.00003281284,0.000006406025,0.005078045],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9498029,"threshold_uncertainty_score":0.7002579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02691600528196804,"score_gpt":0.3813404658673364,"score_spread":0.3544244605853684,"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."}}