{"id":"W4386716640","doi":"10.1007/978-3-031-42505-9_47","title":"Child Tracking and Prediction of Violence on Children In Social Media Using Natural Language Processing and Machine Learning","year":2023,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"AI and Multimedia in Education","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Brandon University","funders":"","keywords":"Computer science; Machine learning; Artificial intelligence; Social media; Decision tree; Harm; Sentiment analysis; The Internet; Harassment; Data science; World Wide Web; Psychology; Social 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":[],"consensus_categories":[],"category_scores_codex":[0.0004954775,0.0002459943,0.0002893552,0.0006930451,0.0002465742,0.0001547756,0.0005032362,0.000168526,7.335447e-7],"category_scores_gemma":[0.0001775656,0.0002301628,0.00002874463,0.0004388645,0.0003475476,0.0004169282,0.0003527817,0.0008053003,4.78089e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009731912,"about_ca_system_score_gemma":0.0001261924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005353791,"about_ca_topic_score_gemma":0.00006453025,"domain_scores_codex":[0.9981806,0.00003266845,0.000305886,0.0007361327,0.0004597154,0.0002850077],"domain_scores_gemma":[0.9991631,0.0003029499,0.0002349761,0.0001798623,0.00006617378,0.00005295225],"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":[0.000003714708,0.00001260066,0.001550279,0.00003324419,0.000002871638,0.000006355278,0.01097181,0.003666256,0.0001585908,0.0002695815,2.208963e-7,0.9833245],"study_design_scores_gemma":[0.0002750143,0.00005803433,0.03933478,0.001846004,0.000007140883,0.00004910703,0.000003998262,0.9536315,0.0006185183,0.003907313,0.00000178664,0.0002667528],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1141759,0.00420686,0.8786496,0.0003836507,0.001754691,0.0005126685,0.00001595796,0.0001886982,0.0001119892],"genre_scores_gemma":[0.9757242,0.00009791982,0.02364329,0.00008525838,0.0004096666,0.000002119787,0.00001249908,0.00001875173,0.000006248701],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9830577,"threshold_uncertainty_score":0.9385768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01841198283895322,"score_gpt":0.2614828777005466,"score_spread":0.2430708948615933,"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."}}