{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.03364614,0.0005169735,0.0004983325,0.002449535,0.002087809,0.003157597,0.0009620443,0.001264459,0.00746266],"category_scores_gemma":[0.114677,0.0003813081,0.001150706,0.002389281,0.002827363,0.002527021,0.003485383,0.001837722,0.000922988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002527841,"about_ca_system_score_gemma":0.004165955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01319502,"about_ca_topic_score_gemma":0.01985518,"domain_scores_codex":[0.9805641,0.01270908,0.001365407,0.001737166,0.002477838,0.001146393],"domain_scores_gemma":[0.6702679,0.2663893,0.03224823,0.008981235,0.01704319,0.005070207],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003034738,0.0006207759,0.9671214,0.00009213253,0.0001254041,0.00009300173,0.0190413,0.0003446171,0.0003355944,0.001219301,0.0004715587,0.0102315],"study_design_scores_gemma":[0.00002452569,0.000443624,0.968448,0.0001887908,0.0001851534,0.00006969171,0.02439269,0.001711342,0.0009762959,0.001255532,0.002257558,0.00004675905],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916892,0.000122312,0.001989052,0.000376132,0.00003277924,0.0001336096,0.0001147585,0.000008009277,0.005534155],"genre_scores_gemma":[0.9952324,0.0001021031,0.001985128,0.000157152,0.00002534969,0.0003994121,0.0001608137,0.00001525698,0.001922346],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9663538,"threshold_uncertainty_score":0.1779399,"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."}}