{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004857222,0.0004611896,0.0002886411,0.00158986,0.0002905176,0.0006389113,0.0004629443,0.0005602057,0.001772137],"category_scores_gemma":[0.002077874,0.0002307224,0.0005688025,0.0008357896,0.0001615244,0.0007460461,0.000359449,0.0006055656,0.0005773734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005178227,"about_ca_system_score_gemma":0.0003172401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02279124,"about_ca_topic_score_gemma":0.04299518,"domain_scores_codex":[0.9997221,0.00008186312,0.00001874467,0.00008002658,0.00005610525,0.00004113232],"domain_scores_gemma":[0.9982505,0.001277773,0.00022766,0.00005849324,0.0001171708,0.00006832894],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002941464,0.0003403106,0.8422889,0.00007372163,0.0001711821,0.0002611259,0.0004274147,0.007487293,0.004583829,0.0005133276,0.002144775,0.141414],"study_design_scores_gemma":[0.0000103181,0.0003080245,0.7966439,0.00005303442,0.0001185862,0.0004208233,0.0007709217,0.1941171,0.005101318,0.001332172,0.001087006,0.000036889],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9802827,0.0006125051,0.01341312,0.0002081615,0.00002975232,0.00003777383,0.002351303,0.0001751211,0.002889533],"genre_scores_gemma":[0.98134,0.0003635242,0.0143462,0.00002580944,0.00002516401,0.00003569231,0.001937906,0.0000155811,0.001910235],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02279124,"threshold_uncertainty_score":0.04531717,"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."}}