{"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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0005570689,0.0001685314,0.000123435,0.0001514119,0.0005025981,0.002464079,0.0004344016,0.0000914097,0.00001988213],"category_scores_gemma":[0.000079782,0.0001323442,0.0001042247,0.0007051903,0.00002499104,0.001598848,0.00007305996,0.001470094,0.00008713623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001272784,"about_ca_system_score_gemma":0.00009480811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002033378,"about_ca_topic_score_gemma":0.000008989083,"domain_scores_codex":[0.9985501,0.00005926942,0.0002597718,0.0003174104,0.0004415372,0.0003719721],"domain_scores_gemma":[0.9994756,0.00003306572,0.0001028092,0.0001466731,0.0001214364,0.0001204286],"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":[0.000004223396,0.0000072906,0.000003046158,0.00004561681,0.00001115443,0.0007487012,0.001527163,0.000008311622,0.06711508,0.00002422679,0.00006689359,0.9304383],"study_design_scores_gemma":[0.000467477,0.0001399923,0.0001311472,0.001466846,0.00003360985,0.02436342,0.000559898,0.603747,0.3623625,0.001567555,0.004568436,0.0005922083],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3912669,0.09303845,0.5056193,0.001497254,0.005690597,0.0001540879,0.000001214158,0.001639862,0.001092306],"genre_scores_gemma":[0.9700234,0.00003694488,0.02830766,0.0001761034,0.0008705454,0.000002740688,0.000001187115,0.00002041937,0.0005609828],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9298461,"threshold_uncertainty_score":0.9985715,"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."}}