{"id":"W2980235613","doi":"10.24926/15529541.3822","title":"When Cute Becomes Criminal: Emoji, Threats and Online Grooming","year":2019,"lang":"en","type":"article","venue":"Minnesota journal of law, science & technology","topic":"Hate Speech and Cyberbullying Detection","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Emoji; Exploit; Internet privacy; Vicarious liability; Psychology; Criminology; Public relations; Social psychology; Computer security; Political science; Social media; Tort; Computer science; Liability; Law","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":[0.0009507485,0.0001787042,0.0003487661,0.001215198,0.0002855158,0.0002217314,0.001895602,0.0001200278,0.00002135865],"category_scores_gemma":[0.00008934458,0.0001464439,0.00007006645,0.001270795,0.0008054362,0.001661265,0.000519912,0.0003994993,0.0000250249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008830241,"about_ca_system_score_gemma":0.0001770351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002076541,"about_ca_topic_score_gemma":0.00003354002,"domain_scores_codex":[0.9980432,0.00002778919,0.0004550449,0.0004428976,0.0005135754,0.0005175307],"domain_scores_gemma":[0.9984936,0.0000580501,0.0003749522,0.000565433,0.0003542325,0.0001537809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004918838,0.000286094,0.01085228,0.0000587047,0.00005768713,0.0004933847,0.002465199,0.0000536081,0.2373342,0.2371863,0.0003619355,0.5108014],"study_design_scores_gemma":[0.005587785,0.008750181,0.01116058,0.001056619,0.0002288318,0.04742289,0.00429384,0.02145679,0.456857,0.3156396,0.1251078,0.002438124],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9735678,0.001356789,0.0171118,0.006013423,0.0009166424,0.0001189375,0.000001086451,0.0001141749,0.0007992942],"genre_scores_gemma":[0.9444726,0.0001644374,0.05474493,0.0003010164,0.00006306428,0.000001267042,1.697263e-7,0.000009175469,0.0002433776],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5083633,"threshold_uncertainty_score":0.597181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01576188932967089,"score_gpt":0.263393754690004,"score_spread":0.2476318653603331,"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."}}