{"id":"W2023503362","doi":"10.1002/pa.334","title":"Caricatures, cartoons, spoofs and satires: political brands as butts","year":2009,"lang":"en","type":"article","venue":"Journal of Public Affairs","topic":"Humor Studies and Applications","field":"Psychology","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Cartoonist; Politics; Economic Justice; Law; Sociology; Advertising; Political science; Media studies; Business","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":[0.001710031,0.0004129794,0.000232064,0.001301733,0.005618555,0.00709912,0.0005001256,0.002515077,0.009221874],"category_scores_gemma":[0.003450546,0.0002988091,0.0002527151,0.0007860449,0.02024727,0.004528907,0.003280021,0.002291912,0.0006155317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002364783,"about_ca_system_score_gemma":0.0006014113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002101817,"about_ca_topic_score_gemma":0.003228919,"domain_scores_codex":[0.9986207,0.0008841999,0.00001388209,0.00008386587,0.0002048227,0.0001923308],"domain_scores_gemma":[0.9978042,0.001340656,0.0003354261,0.0002032847,0.0001516061,0.0001647585],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001048298,0.00004441305,0.002109366,0.00007164824,0.000009943042,0.0003780048,0.111524,0.0003130762,0.0008655142,0.8633186,0.004776171,0.01648436],"study_design_scores_gemma":[0.00005897517,0.0002181084,0.009494707,0.0004743339,0.0000458608,0.001212022,0.2933738,0.005911211,0.002476265,0.3625661,0.3240633,0.0001053179],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4077291,0.002183529,0.01323191,0.0113824,0.0003059878,0.00004389336,0.0000470591,0.0001221889,0.5649539],"genre_scores_gemma":[0.9906507,0.000177104,0.0006331923,0.0002725808,0.00003786881,0.000006202759,0.00000624723,0.00001817513,0.008197847],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009221874,"threshold_uncertainty_score":0.03085029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02368541210913146,"score_gpt":0.3338146917797087,"score_spread":0.3101292796705772,"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."}}