{"id":"W4411142590","doi":"10.1145/3730408","title":"Humor for Graduate Training","year":2025,"lang":"en","type":"article","venue":"ACM Inroads","topic":"Humor Studies and Applications","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Institut de Valorisation des Données","keywords":"Training (meteorology); Graduate students; Medical education; Psychology; Computer science; Mathematics education; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004808351,0.0008136752,0.0006338647,0.001487338,0.005939172,0.01278225,0.001128742,0.004457664,0.07742383],"category_scores_gemma":[0.01685445,0.0002497875,0.0004350405,0.0008639951,0.006075642,0.006053793,0.01158789,0.005571769,0.04843803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002345404,"about_ca_system_score_gemma":0.005572191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006903954,"about_ca_topic_score_gemma":0.001938617,"domain_scores_codex":[0.9946851,0.002217779,0.0001258515,0.0005516215,0.001701497,0.0007182373],"domain_scores_gemma":[0.9811656,0.002482967,0.0007870555,0.00248466,0.002919568,0.01016018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006514564,0.00009945134,0.0007881807,0.0002060892,0.00001134889,0.00007232824,0.00411557,0.00008295685,0.001405581,0.09231848,0.5986087,0.3022262],"study_design_scores_gemma":[0.000009070293,0.00007994112,0.0007731094,0.0003029826,0.000004993243,0.0001549288,0.001964057,0.000127114,0.0005330247,0.04342404,0.9526066,0.00002018441],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.009565921,0.01877822,0.01897171,0.2540681,0.01800923,0.0001203817,0.0003598289,0.003525478,0.6766011],"genre_scores_gemma":[0.167494,0.00769771,0.0133762,0.05104532,0.01223543,0.0002164979,0.0003949067,0.001346857,0.7461931],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07742383,"threshold_uncertainty_score":0.2590085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2224154136893508,"score_gpt":0.4548898234489757,"score_spread":0.2324744097596249,"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."}}