{"id":"W4296363324","doi":"10.5121/csit.2022.121507","title":"Cyberbullying Detection using Ensemble Method","year":2022,"lang":"en","type":"article","venue":"","topic":"Hate Speech and Cyberbullying Detection","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Granularity; Computer science; Ensemble forecasting; Support vector machine; Ensemble learning; Social media; Artificial intelligence; Machine learning; Transformer; Data mining; Engineering; World Wide Web","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":[0.0006613996,0.0001005563,0.000100777,0.0001748039,0.0008545921,0.0001186146,0.0004121146,0.0000277301,0.0001563551],"category_scores_gemma":[0.00001765913,0.0001070126,0.00007061698,0.0007334145,0.000006665,0.000323299,0.0003999614,0.0002057652,0.00003446078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001597253,"about_ca_system_score_gemma":0.00004800232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002508962,"about_ca_topic_score_gemma":0.00001882101,"domain_scores_codex":[0.9986733,0.0002020219,0.0001618748,0.0003557532,0.0003335018,0.0002736115],"domain_scores_gemma":[0.9994178,0.00004679241,0.00006662642,0.0003659334,0.00003527596,0.00006753686],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001033851,0.00004562544,0.00002532675,0.000004808555,0.00001856917,0.00003166658,0.0003568911,0.01566427,0.5712568,0.01306272,0.0001169801,0.399406],"study_design_scores_gemma":[0.000231967,0.0001367411,0.00006553466,0.00000207498,0.000007390967,0.0005607059,0.0001402311,0.7534373,0.2137356,0.003620418,0.02781346,0.0002485916],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0529241,0.00003141196,0.9384915,0.00008136473,0.0007816079,0.0001092963,3.466007e-7,0.0004138823,0.007166453],"genre_scores_gemma":[0.7089145,0.000001043515,0.289837,0.0002583702,0.00004794718,0.0000231591,4.265173e-7,0.000009493616,0.0009081344],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.737773,"threshold_uncertainty_score":0.6572918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02168554176596052,"score_gpt":0.2684836362495673,"score_spread":0.2467980944836068,"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."}}