{"id":"W6929045614","doi":"10.48448/1rh1-s744","title":"Bias Unveiled: Investigating Social Bias in LLM-Generated Code","year":2025,"lang":"en","type":"other","venue":"Underline Science Inc.","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Code (set theory); Set (abstract data type); Field (mathematics); Subject (documents); Source code","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":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003519204,0.0007961876,0.0009189179,0.004262252,0.0005701347,0.0004700732,0.002067137,0.0006470329,0.001310778],"category_scores_gemma":[0.00320468,0.0007901582,0.0001146407,0.01004808,0.00359325,0.0003105329,0.0007057862,0.001095092,0.002692798],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001282216,"about_ca_system_score_gemma":0.006879553,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003616865,"about_ca_topic_score_gemma":0.02073188,"domain_scores_codex":[0.9936138,0.0004245987,0.0009794722,0.001730212,0.001820413,0.001431489],"domain_scores_gemma":[0.9973843,0.000221261,0.0008946556,0.0007971278,0.000370504,0.0003321982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002116377,0.0006946323,0.006783395,0.0002656888,0.0001168192,0.0001089456,0.001770986,0.001241476,0.02867289,0.02205926,0.9250648,0.01319994],"study_design_scores_gemma":[0.007408892,0.0004167261,0.003240409,0.005300694,0.0003391863,0.00003688111,0.003233841,0.1763483,0.01734551,0.01185899,0.767032,0.007438591],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01615153,0.0005021412,0.0004280301,0.001208068,0.002200071,0.001632807,0.001633325,0.002365318,0.9738787],"genre_scores_gemma":[0.1279915,0.00005057593,0.02982689,0.003151716,0.002597405,0.0001470645,0.001033889,0.002432529,0.8327684],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1751068,"threshold_uncertainty_score":0.9996021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.136851653734976,"score_gpt":0.3564607751112128,"score_spread":0.2196091213762368,"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."}}