{"id":"W3082035266","doi":"10.48550/arxiv.2009.01046","title":"Generalisation of Cyberbullying Detection","year":2020,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Hate Speech and Cyberbullying Detection","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Software portability; Computer science; Classifier (UML); Variety (cybernetics); Generalization; Machine learning; Artificial intelligence; Data science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01489953,0.001486198,0.002014981,0.006350576,0.001498907,0.003797209,0.00254364,0.002962368,0.005006468],"category_scores_gemma":[0.0476597,0.0006734103,0.002862346,0.003829596,0.001771067,0.005340687,0.003194714,0.003868162,0.001989879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0019259,"about_ca_system_score_gemma":0.0009319236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009505509,"about_ca_topic_score_gemma":0.01002748,"domain_scores_codex":[0.9904237,0.003505121,0.0005604155,0.003634493,0.001365224,0.0005109744],"domain_scores_gemma":[0.9725536,0.01605194,0.00113205,0.00669323,0.003066162,0.0005030956],"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":[0.0009176572,0.0008277717,0.3393072,0.0013242,0.002580181,0.00118088,0.001934307,0.1409533,0.01089141,0.04051275,0.04447358,0.4150967],"study_design_scores_gemma":[0.00009997479,0.0003324577,0.1348252,0.0002954675,0.0003932251,0.001936587,0.001039196,0.6860346,0.003601204,0.1528535,0.01847416,0.000114367],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4572254,0.005294715,0.4938853,0.007650363,0.0007522994,0.0006553372,0.01127408,0.004389097,0.01887353],"genre_scores_gemma":[0.9402011,0.001294154,0.03788335,0.001043196,0.0007847724,0.0002847048,0.01477563,0.0003330153,0.003399971],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01489953,"threshold_uncertainty_score":0.07879722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08310204673315018,"score_gpt":0.1786804758506595,"score_spread":0.09557842911750929,"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."}}