{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004057211,0.0006690941,0.0004087978,0.0005094378,0.0002938602,0.0005837632,0.00102819,0.0006013196,0.003160575],"category_scores_gemma":[0.001437005,0.0002684135,0.0004145719,0.00034006,0.0002734235,0.0007188174,0.0005053395,0.0008889324,0.0006595096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001109282,"about_ca_system_score_gemma":0.0007186216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01872916,"about_ca_topic_score_gemma":0.0213209,"domain_scores_codex":[0.9998136,0.00003266632,0.000009453841,0.00005927835,0.00004221333,0.0000428081],"domain_scores_gemma":[0.9996181,0.0002037677,0.00004250394,0.00002857209,0.00008352319,0.00002353591],"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":[0.0004451446,0.0005454522,0.007246142,0.0001988017,0.0001701172,0.0003828306,0.0002738788,0.4503582,0.0263936,0.009567275,0.009507785,0.4949107],"study_design_scores_gemma":[0.000004338973,0.0000267064,0.0005638315,0.000008981612,0.00001414651,0.00001668568,0.000009667897,0.9941765,0.002828667,0.001779053,0.0005653747,0.000006035907],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1772418,0.001416037,0.7932702,0.001167798,0.0003366895,0.0002005281,0.0006000622,0.01197328,0.01379367],"genre_scores_gemma":[0.8977245,0.000432195,0.09080887,0.0002970762,0.00005577872,0.0001484411,0.0005824034,0.0001671136,0.009783629],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01872916,"threshold_uncertainty_score":0.03724027,"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."}}