{"id":"W4386164861","doi":"10.1163/18757421-bja00005","title":"Othering the Laughable","year":2023,"lang":"en","type":"article","venue":"Matatu","topic":"Humor Studies and Applications","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Comics; Politics; Sociology; Comedy; Aesthetics; Psychology; Literature; History; Political science; Art; Law","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":[0.00143011,0.0008150443,0.000412509,0.0008390637,0.006223398,0.004737484,0.0006174651,0.001475066,0.02419692],"category_scores_gemma":[0.007188787,0.0002008532,0.0004066241,0.0003976617,0.006758136,0.003980872,0.004330542,0.00323005,0.008165361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001008303,"about_ca_system_score_gemma":0.0007013211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001165427,"about_ca_topic_score_gemma":0.001737469,"domain_scores_codex":[0.9983852,0.0007503496,0.00004057955,0.0001897151,0.0004164326,0.0002177579],"domain_scores_gemma":[0.9961736,0.001278169,0.0005297114,0.0005052824,0.0008881617,0.0006251179],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004113876,0.0001351866,0.008717822,0.0009362094,0.00009914696,0.003383845,0.2828803,0.0002673721,0.01240116,0.1819206,0.3166656,0.1921813],"study_design_scores_gemma":[0.000009471642,0.00007818495,0.002189004,0.0004987502,0.00002471656,0.001218161,0.09566452,0.0002678592,0.002046162,0.01272031,0.8852423,0.00004051913],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1273532,0.008109335,0.01928243,0.0603243,0.01830611,0.0001613739,0.0003220341,0.0008696264,0.7652717],"genre_scores_gemma":[0.6766289,0.002683373,0.00336246,0.01127014,0.002389455,0.00006254744,0.000133463,0.0004137456,0.3030559],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02419692,"threshold_uncertainty_score":0.08094674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04898333828858112,"score_gpt":0.3699825223201009,"score_spread":0.3209991840315197,"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."}}