{"id":"W4388739957","doi":"10.2139/ssrn.4605250","title":"Breaking Barriers: When Should Ads Be Inclusive?","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Media, Gender, and Advertising","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Sociology","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.004438668,0.0001418869,0.0001818057,0.0001995601,0.001898629,0.0001596623,0.0004844326,0.0001359929,0.0003662526],"category_scores_gemma":[0.0006577292,0.0001353581,0.0001384694,0.0005094867,0.0001490952,0.0003878425,0.00009731617,0.001475786,0.00008345216],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001382793,"about_ca_system_score_gemma":0.006393968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000970908,"about_ca_topic_score_gemma":0.009672051,"domain_scores_codex":[0.99536,0.0002796729,0.00026235,0.0002235982,0.0008002271,0.003074222],"domain_scores_gemma":[0.9991747,0.0001290844,0.0001326703,0.0001345249,0.0000937956,0.000335212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006440929,0.0000464545,0.01032151,0.00001977108,0.0003838076,0.0001092796,0.1904335,0.000120662,0.001654372,0.5752455,0.01474162,0.2068591],"study_design_scores_gemma":[0.000627777,0.0001098308,0.0003479528,0.00005673711,0.00005070341,0.00009697612,0.1898736,0.0001274326,0.0001012187,0.6009204,0.2073166,0.0003707054],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7849692,0.007696771,0.008684828,0.06992982,0.004457452,0.0005972406,0.00001105683,0.0008499127,0.1228037],"genre_scores_gemma":[0.9817228,0.005260714,0.00005153719,0.0008840775,0.001972358,0.000003729814,0.000003483197,0.00002882171,0.01007244],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2064884,"threshold_uncertainty_score":0.9994007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03736378100458803,"score_gpt":0.3446885896090009,"score_spread":0.3073248086044129,"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."}}