{"id":"W4405368118","doi":"10.31234/osf.io/t9x8r","title":"Moral Stereotyping in Large Language Models","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Hate Speech and Cyberbullying Detection","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Globe; Stereotype (UML); Social psychology; Psychology; Sociology; Positive economics; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02040655,0.0008846726,0.0007938751,0.002367732,0.001106537,0.00425526,0.001127112,0.0009094644,0.002686377],"category_scores_gemma":[0.1015389,0.0005680911,0.001015873,0.001439091,0.001930706,0.005189639,0.002928729,0.002058542,0.0005935378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001455494,"about_ca_system_score_gemma":0.0008258543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009029098,"about_ca_topic_score_gemma":0.008066039,"domain_scores_codex":[0.9866788,0.0106122,0.000411848,0.001184211,0.0007964412,0.0003166058],"domain_scores_gemma":[0.8841547,0.09872276,0.006725735,0.006501447,0.002990436,0.0009049486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001739488,0.0007044725,0.5461504,0.0005918482,0.001034281,0.0007306839,0.03852903,0.183312,0.003632851,0.06577153,0.006926485,0.150877],"study_design_scores_gemma":[0.000064041,0.0001575256,0.05380725,0.000214713,0.0001145114,0.0002961571,0.007111957,0.8344259,0.00114082,0.09944304,0.003094557,0.0001294671],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8822038,0.0004188407,0.1084141,0.001171784,0.00005474154,0.0001404549,0.0007658511,0.0002810284,0.006549378],"genre_scores_gemma":[0.9884943,0.00006655291,0.01024848,0.0001469199,0.00002755808,0.00009949528,0.0005403237,0.00004535027,0.0003309937],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02040655,"threshold_uncertainty_score":0.1079215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02241511617094059,"score_gpt":0.2629222091736161,"score_spread":0.2405070930026756,"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."}}