{"id":"W4403577338","doi":"10.1145/3627673.3679974","title":"Osprey 🪶: A Reference Framework for Online Grooming Detection via Neural Models and Conversation Features","year":2024,"lang":"en","type":"article","venue":"","topic":"Hate Speech and Cyberbullying Detection","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Conversation; Computer science; Communication; 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":[0.0001278773,0.0001043136,0.00008320787,0.00009995354,0.0001141544,0.0003174328,0.0001332521,0.00009287741,0.000003818893],"category_scores_gemma":[0.00002789115,0.00009037694,0.00003622356,0.0002174595,0.00001587379,0.0007307673,0.00005211595,0.0001837081,0.000004938727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000318427,"about_ca_system_score_gemma":0.0000166884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000883497,"about_ca_topic_score_gemma":0.0001088885,"domain_scores_codex":[0.9992177,0.00002222079,0.0001182987,0.0003560256,0.000117181,0.0001685054],"domain_scores_gemma":[0.9995698,0.000129208,0.00002526831,0.0001684426,0.00004967636,0.00005765953],"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":[0.0000257842,0.00001479475,0.00000540781,0.00006674155,0.00001881922,0.000004900262,0.0006187803,0.0003598461,0.008009109,0.07781526,0.00006003285,0.9130005],"study_design_scores_gemma":[0.00009470313,0.0001266857,0.0002610278,0.00003505158,0.000008614645,0.0000486231,0.00003630449,0.877714,0.01011916,0.1110321,0.0004047281,0.0001190338],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05404673,0.0002529532,0.9436095,0.000697676,0.0006141722,0.0001967972,0.000002533973,0.0004547433,0.0001249218],"genre_scores_gemma":[0.8709933,0.00002122741,0.1284995,0.0001592535,0.0001019215,0.00002017365,0.000004317979,0.000007997082,0.0001922994],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9128815,"threshold_uncertainty_score":0.3685465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02875987590224568,"score_gpt":0.2747591403637519,"score_spread":0.2459992644615062,"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."}}