{"id":"W2027190208","doi":"10.1016/j.chiabu.2014.12.004","title":"A linguistic analysis of grooming strategies of online child sex offenders: Implications for our understanding of predatory sexual behavior in an increasingly computer-mediated world","year":2015,"lang":"en","type":"article","venue":"Child Abuse & Neglect","topic":"Sexuality, Behavior, and Technology","field":"Psychology","cited_by":151,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Psychology; Poison control; Human factors and ergonomics; Flattery; Social psychology; Injury prevention; Process (computing); Suicide prevention; Developmental psychology; Computer science; Medicine; Medical emergency","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003284666,0.0002627904,0.0008815856,0.001841887,0.00007145559,0.00001900177,0.0004509745,0.0002453301,0.00001059478],"category_scores_gemma":[0.0001217166,0.0002820311,0.000147046,0.001827466,0.0002109556,0.000111863,0.00005588696,0.0003091007,4.179425e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001530452,"about_ca_system_score_gemma":0.0001451894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009440103,"about_ca_topic_score_gemma":0.01010666,"domain_scores_codex":[0.997768,0.0002049579,0.0009406413,0.0005321162,0.0001774689,0.0003768063],"domain_scores_gemma":[0.9979886,0.0002585262,0.0005897522,0.0008026292,0.0002378611,0.0001226516],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005323369,0.007477647,0.9161629,0.0001597159,0.001625601,0.00001595233,0.03503619,0.0005517922,0.005342366,0.03041094,0.0001121642,0.002572374],"study_design_scores_gemma":[0.004495298,0.002002642,0.9389626,0.0001699926,0.002593135,0.00002661447,0.04823546,0.001512615,0.0005426491,0.0007790747,0.0001367932,0.0005430664],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994655,0.0002611611,0.002933647,0.00008806196,0.0002258504,0.0006458181,0.0005914536,0.0001109825,0.0004880964],"genre_scores_gemma":[0.998019,0.000004981214,0.0009953324,0.00003522141,0.0001189644,0.00005758745,0.0007078081,0.00004098389,0.00002008265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02963186,"threshold_uncertainty_score":0.9999632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1143844422406924,"score_gpt":0.3770296519549399,"score_spread":0.2626452097142475,"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."}}