{"id":"W3041231796","doi":"10.1002/9781119429128.iegmc207","title":"Gender and Political Cartoons","year":2020,"lang":"en","type":"other","venue":"The International Encyclopedia of Gender, Media, and Communication","topic":"Gender, Feminism, and Media","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Politics; Realm; Femininity; Gender studies; Masculinity; Hegemonic masculinity; Persuasion; Power (physics); Extant taxon; Sociology; Hegemony; Political science; Media studies; Social psychology; Psychology; 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":[0.00097011,0.0004471121,0.0002294597,0.001659309,0.00435776,0.007412299,0.000452864,0.0009743143,0.02817329],"category_scores_gemma":[0.003313292,0.0001142227,0.0001501714,0.002002783,0.008762096,0.003479287,0.002609011,0.001422798,0.002127676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001629843,"about_ca_system_score_gemma":0.00110539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002276137,"about_ca_topic_score_gemma":0.004491639,"domain_scores_codex":[0.9986995,0.0007394105,0.00002340736,0.000103784,0.0002415197,0.000192264],"domain_scores_gemma":[0.9981515,0.001164003,0.000192605,0.0001266483,0.0001626279,0.000202579],"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":[0.00003766877,0.00001831873,0.0006587321,0.0001476723,0.000003736325,0.00039562,0.05259159,0.00005689058,0.0002976231,0.850121,0.05397321,0.04169787],"study_design_scores_gemma":[0.000005106192,0.00001394862,0.001089562,0.0002894838,0.000003461995,0.0002607215,0.02844664,0.00006863088,0.0002821166,0.05873273,0.9107989,0.000008807854],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02001988,0.01016724,0.001191908,0.01106931,0.00213751,0.00001611037,0.0001069791,0.0000797771,0.9552114],"genre_scores_gemma":[0.7199579,0.01078265,0.0009775741,0.003499187,0.002398568,0.00006369111,0.0001225482,0.000187189,0.2620107],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02817329,"threshold_uncertainty_score":0.09424907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04256300886686352,"score_gpt":0.3091627342878744,"score_spread":0.2665997254210109,"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."}}