{"id":"W4416957038","doi":"10.1145/3774399.3774405","title":"Interpolating Humour — Can Lines Be Funny?","year":2025,"lang":"en","type":"article","venue":"AI Matters","topic":"Artificial Intelligence in Games","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"MacEwan University","funders":"","keywords":"Point (geometry); Observable; Interpolation (computer graphics); Calculus (dental); Key (lock); Line (geometry); Algebra over a field","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001968647,0.0008451999,0.0005418768,0.0009633968,0.00312063,0.005741775,0.001392417,0.002304416,0.02704637],"category_scores_gemma":[0.0170503,0.0004213941,0.0006375062,0.0007966461,0.01418814,0.01488982,0.003740008,0.003008694,0.004925106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001249834,"about_ca_system_score_gemma":0.0008334344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001875494,"about_ca_topic_score_gemma":0.001367001,"domain_scores_codex":[0.9981834,0.0009322854,0.00005012985,0.0003197801,0.0003102002,0.0002042169],"domain_scores_gemma":[0.9957619,0.002357585,0.000317036,0.0007479268,0.000526291,0.00028915],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001549214,0.00002297184,0.0006500259,0.0001532613,0.00001822099,0.0001515832,0.003037576,0.001411409,0.0003677634,0.9386804,0.01121736,0.04413453],"study_design_scores_gemma":[0.00002090424,0.00002710938,0.0001640859,0.0001350667,0.000007850874,0.0001320044,0.001026759,0.001600457,0.0003086409,0.9327179,0.06383701,0.00002222513],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0515329,0.009774674,0.3217092,0.03947135,0.003534212,0.0001361057,0.0004816955,0.001844963,0.5715149],"genre_scores_gemma":[0.8964509,0.002950691,0.04320306,0.004321364,0.000687386,0.0001092101,0.0002414124,0.0006906014,0.0513454],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02704637,"threshold_uncertainty_score":0.09047914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02322144989524311,"score_gpt":0.3081880027466363,"score_spread":0.2849665528513932,"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."}}