{"id":"W7125577906","doi":"10.1109/cascon66301.2025.00021","title":"Beyond Monolithic LLMs: Modular AI for Online Harassment Detection","year":2025,"lang":"","type":"article","venue":"","topic":"Hate Speech and Cyberbullying Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; York University","funders":"Alliance de recherche numérique du Canada","keywords":"Modular design; Harassment; Extensibility; Architecture; Blocking (statistics); Hamming distance","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.00257725,0.001684196,0.0007442095,0.001276272,0.000802714,0.001952135,0.003313059,0.001596406,0.00650203],"category_scores_gemma":[0.008860858,0.0004942648,0.001118596,0.0007962271,0.001024822,0.00577042,0.003927251,0.003200182,0.005330248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001341689,"about_ca_system_score_gemma":0.001391541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007004432,"about_ca_topic_score_gemma":0.01417844,"domain_scores_codex":[0.9986118,0.0003169262,0.00007888948,0.0005997939,0.0002667959,0.0001257869],"domain_scores_gemma":[0.9969529,0.001028697,0.0002020375,0.001047026,0.0005304381,0.0002389712],"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":[0.000866606,0.0006293561,0.01583446,0.0007282367,0.0003462253,0.0002769868,0.001310036,0.05867394,0.03537965,0.01123596,0.04764529,0.8270732],"study_design_scores_gemma":[0.00004999098,0.0003377693,0.002693109,0.0001048043,0.0001130406,0.0001633293,0.0004696523,0.907007,0.0253374,0.02690453,0.03675003,0.00006939891],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08554363,0.001364616,0.7448947,0.002481156,0.0005576016,0.0007581024,0.002544686,0.1475435,0.01431208],"genre_scores_gemma":[0.5015182,0.0004419085,0.472778,0.002049533,0.0001864904,0.0005191159,0.006326774,0.00180214,0.01437791],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007004432,"threshold_uncertainty_score":0.02175146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01050993713129978,"score_gpt":0.2755264175209228,"score_spread":0.2650164803896231,"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."}}