{"id":"W4396542919","doi":"10.1109/ihtc58960.2023.10508881","title":"Automated Identification of Microaggressions","year":2023,"lang":"en","type":"article","venue":"","topic":"Hate Speech and Cyberbullying Detection","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Royal University","funders":"","keywords":"Identification (biology); Computer science; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00159078,0.0008964698,0.0006811267,0.003503743,0.0008529092,0.001449518,0.001294822,0.00123321,0.002842273],"category_scores_gemma":[0.006086668,0.0002268765,0.0007599436,0.001365781,0.0004396947,0.00204318,0.001407729,0.001565679,0.003538781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007302389,"about_ca_system_score_gemma":0.0009862314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004774764,"about_ca_topic_score_gemma":0.006133047,"domain_scores_codex":[0.9974101,0.0005894677,0.0002218336,0.0007780927,0.0007126478,0.0002877644],"domain_scores_gemma":[0.9925866,0.003055947,0.00111379,0.0008848771,0.002098861,0.0002599605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005136754,0.0006629452,0.1188515,0.0006861037,0.0002165253,0.001208305,0.002025074,0.01266,0.04034816,0.002632549,0.03090227,0.789293],"study_design_scores_gemma":[0.00004674862,0.0003344929,0.10061,0.0002048945,0.0001907117,0.001355981,0.003972314,0.7720972,0.07253812,0.009062954,0.03944129,0.0001453021],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6740052,0.001596737,0.2725838,0.002435567,0.0007543544,0.000643543,0.01020715,0.02388171,0.01389191],"genre_scores_gemma":[0.8510429,0.0003122449,0.1310873,0.0004083766,0.0001766505,0.0002055559,0.01004813,0.0002846739,0.00643425],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004774764,"threshold_uncertainty_score":0.009508371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0132232089061498,"score_gpt":0.2664356526854641,"score_spread":0.2532124437793143,"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."}}