{"id":"W2914752849","doi":"","title":"Cyberbullying Intervention Based on Convolutional Neural Networks","year":2018,"lang":"en","type":"article","venue":"International Conference on Computational Linguistics","topic":"Bullying, Victimization, and Aggression","field":"Psychology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Flagging; Computer science; Convolutional neural network; Intervention (counseling); Interface (matter); Process (computing); User interface; Mechanism (biology); Service (business); Human–computer interaction; Natural (archaeology); World Wide Web; Artificial intelligence; Multimedia; Psychology","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002802598,0.0002584594,0.0001790467,0.0002909168,0.000316982,0.0001455039,0.0003868546,0.0001557235,0.006128346],"category_scores_gemma":[0.0006837714,0.0002618055,0.000126033,0.0001728169,0.0002165537,0.00003956066,0.00005371196,0.0003398457,0.0004694743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001329983,"about_ca_system_score_gemma":0.00008442545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004540383,"about_ca_topic_score_gemma":0.00001227248,"domain_scores_codex":[0.9978554,0.0001555933,0.0005116081,0.0005145031,0.0006765516,0.0002864036],"domain_scores_gemma":[0.9969382,0.0004158365,0.0003384972,0.0002117637,0.001977764,0.0001179062],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005596317,0.0005069363,0.003667238,0.000005390662,0.0000771484,0.00002408161,0.0001552459,0.2940863,0.000003728634,0.6896321,0.006753276,0.004528969],"study_design_scores_gemma":[0.001223052,0.0004125875,0.01091735,0.0002037404,0.00001636796,0.000007839983,0.00005772,0.971222,0.00000680307,0.008588685,0.007083304,0.0002604815],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01278532,0.00003541132,0.7035635,0.001521171,0.02400375,0.0003981309,0.0001943879,0.0003284652,0.2571699],"genre_scores_gemma":[0.988922,0.000002018124,0.003404976,0.0019766,0.003639603,0.00003072014,0.0008269629,0.00003267304,0.001164459],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9761367,"threshold_uncertainty_score":0.9999834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04830110351160088,"score_gpt":0.3533375149440351,"score_spread":0.3050364114324342,"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."}}