{"id":"W4415557512","doi":"10.1002/mar.70071","title":"Diversity in Femvertising: An Experimental Investigation","year":2025,"lang":"en","type":"article","venue":"Psychology and Marketing","topic":"Media, Gender, and Advertising","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"","keywords":"Diversity (politics); Perception; Tokenism; Ideology; Optimal distinctiveness theory; Politics","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":[0.002460746,0.0004728567,0.0005384797,0.0004209011,0.001474217,0.001743194,0.0007114676,0.001008518,0.01007568],"category_scores_gemma":[0.007114319,0.0003785572,0.0003892423,0.0003122084,0.001409933,0.0009874654,0.001309264,0.001865878,0.0005356118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003973546,"about_ca_system_score_gemma":0.0005478196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005326353,"about_ca_topic_score_gemma":0.0005675564,"domain_scores_codex":[0.9987183,0.0004474335,0.0001006908,0.0002917848,0.0002742189,0.0001676572],"domain_scores_gemma":[0.9923179,0.004721938,0.0006225607,0.001354879,0.0004286289,0.000554133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"nonrandomized_trial","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.04546074,0.5775798,0.0378914,0.0009026822,0.0002005806,0.001259487,0.03742601,0.0007389481,0.1685019,0.01530277,0.001807047,0.1129287],"study_design_scores_gemma":[0.01629993,0.592373,0.1875782,0.0005756303,0.0009318859,0.001495945,0.02907792,0.01014076,0.1041169,0.02727917,0.0297268,0.0004037849],"study_design_candidate":"nonrandomized_trial","study_design_consensus":"nonrandomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963551,0.00001986312,0.0003263493,0.00004557927,0.00002680364,0.0003401525,0.00002363167,0.000007816583,0.00285467],"genre_scores_gemma":[0.9917373,0.00007347184,0.002480886,0.0002017493,0.00004209399,0.001265259,0.00005422075,0.00001238448,0.004132601],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01007568,"threshold_uncertainty_score":0.03370655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0671389127590962,"score_gpt":0.3946204587289201,"score_spread":0.3274815459698239,"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."}}