{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001614155,0.00003065294,0.000040734,0.0001181077,0.00004976027,0.00002766279,0.0002234789,0.00002326458,0.00001148593],"category_scores_gemma":[0.00002693659,0.00002606252,0.00002231235,0.0007717039,0.00001035642,0.0001288625,0.00005926039,0.00002283308,0.0005558693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000520701,"about_ca_system_score_gemma":0.00001535485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001399947,"about_ca_topic_score_gemma":0.00000142105,"domain_scores_codex":[0.9995553,0.00001704597,0.0001330691,0.0001111511,0.00009738803,0.00008602476],"domain_scores_gemma":[0.9996274,0.00001805851,0.00005143625,0.0002379073,0.000041441,0.00002375238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000001047791,0.00002198479,0.0001722101,0.000009692557,0.000007297912,0.000004255466,0.0002206633,0.0001383516,0.9290524,0.01258796,0.01692451,0.04085966],"study_design_scores_gemma":[0.00008091396,0.00001617338,0.01398553,0.0000111334,0.00000146044,0.000004977699,0.00002429281,0.3263028,0.6569121,0.001266438,0.001334837,0.00005931481],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6461347,0.00002547104,0.3399789,0.001223928,0.000902424,0.000162177,0.000002570481,0.007061888,0.004507994],"genre_scores_gemma":[0.9937561,0.00001076603,0.003815441,0.0000193679,0.000008224872,0.0000045352,0.000002868486,0.000002452039,0.002380276],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3476214,"threshold_uncertainty_score":0.7144761,"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."}}