{"id":"W4401813233","doi":"10.1016/j.nlp.2024.100098","title":"HarmonyNet: Navigating hate speech detection","year":2024,"lang":"en","type":"article","venue":"Natural Language Processing Journal","topic":"Hate Speech and Cyberbullying Detection","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vector Institute","funders":"Vector Institute; Government of Ontario; Canadian Institute for Advanced Research","keywords":"Voice activity detection; Computer science; Speech recognition; Speech processing","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":[],"consensus_categories":[],"category_scores_codex":[0.001321334,0.001298909,0.0008545956,0.001655199,0.0006989574,0.0009904621,0.001245497,0.001300531,0.00265042],"category_scores_gemma":[0.003639168,0.0003552995,0.0005569978,0.0005505909,0.0004573103,0.001943174,0.002460699,0.00117066,0.001758563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005599273,"about_ca_system_score_gemma":0.0006590629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006074141,"about_ca_topic_score_gemma":0.01031567,"domain_scores_codex":[0.9990701,0.0002413408,0.00003854028,0.0002917142,0.0002286425,0.0001295815],"domain_scores_gemma":[0.9988825,0.0004315314,0.00009738699,0.0001890927,0.0003179098,0.0000815883],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006617684,0.0005599936,0.02404503,0.0002960325,0.0003188949,0.0009068323,0.0007346126,0.04996382,0.02958301,0.002901873,0.05736713,0.8326612],"study_design_scores_gemma":[0.00002038403,0.0001819467,0.003798288,0.00002375806,0.00005102776,0.0002669933,0.0002837525,0.9689189,0.01506175,0.0035902,0.007767882,0.00003509211],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3842869,0.002757308,0.5529469,0.001553589,0.0009435217,0.0005376204,0.003927387,0.03041543,0.02263132],"genre_scores_gemma":[0.8233431,0.0004250242,0.1520839,0.0007284074,0.0002194601,0.0001589612,0.005309024,0.0005575543,0.0171746],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006074141,"threshold_uncertainty_score":0.01207757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006087059208944044,"score_gpt":0.2661430222922774,"score_spread":0.2600559630833334,"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."}}