{"id":"W3153182107","doi":"10.1109/tse.2021.3073773","title":"On the Relationship Between the Developer’s Perceptible Race and Ethnicity and the Evaluation of Contributions in OSS","year":2021,"lang":"en","type":"preprint","venue":"IEEE Transactions on Software Engineering","topic":"Hate Speech and Cyberbullying Detection","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Ethnic group; Race (biology); Diversity (politics); White (mutation); Empirical research; Computer science; Open source software; Software; Data science; Sociology; Mathematics; Gender studies; Statistics","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.002653093,0.000197053,0.0002441955,0.0001420833,0.0003714181,0.0001665302,0.0003462382,0.0001869285,0.000008086269],"category_scores_gemma":[0.0008125732,0.0001218851,0.00008661253,0.0004679361,0.0001020788,0.000128859,0.00002293805,0.001237842,0.000002038941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001473466,"about_ca_system_score_gemma":0.0001662797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000153977,"about_ca_topic_score_gemma":0.0000943432,"domain_scores_codex":[0.9982609,0.0004619314,0.0003124055,0.0003413401,0.0004436277,0.0001798243],"domain_scores_gemma":[0.9955473,0.003553862,0.00009358568,0.0005666878,0.0001985999,0.00003996253],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003183923,0.00005530204,0.001384574,0.0001051709,0.0001555897,0.000001789761,0.007437002,0.9578136,0.0000981706,0.00423994,0.00002470447,0.02865237],"study_design_scores_gemma":[0.002990965,0.0001156619,0.3948399,0.001473056,0.000467695,0.00004370842,0.0006894952,0.5852584,0.007802969,0.005405179,0.00007543496,0.000837433],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.384363,0.0001972482,0.6138562,0.0008068576,0.0002562051,0.0004414739,0.00001401237,0.00005846233,0.000006557314],"genre_scores_gemma":[0.9966297,0.00009370292,0.002959393,0.0000410894,0.00002668302,0.0002122582,0.000003546849,0.0000129376,0.00002072235],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6122667,"threshold_uncertainty_score":0.5377876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04667324933384913,"score_gpt":0.2852161513331187,"score_spread":0.2385429019992696,"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."}}