{"id":"W2137428431","doi":"10.1145/1938606.1938609","title":"The structure and content of online child exploitation networks","year":2010,"lang":"en","type":"article","venue":"","topic":"Cybercrime and Law Enforcement Studies","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Web crawler; The Internet; Enforcement; World Wide Web; Law enforcement; Computer science; Internet privacy; Web page; Key (lock); Social media; Network structure; Fragmentation (computing); Content analysis; Advertising; Computer security; Business; Political science; Sociology; 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":[0.00005546077,0.00003996219,0.00004805818,0.000008243922,0.0001344948,0.00002816382,0.0001449739,0.00001596501,0.000006771876],"category_scores_gemma":[0.00001398474,0.00002130275,0.00001297081,0.00004514628,0.00004510858,0.0000915685,0.00010148,0.00007249914,2.258914e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001133752,"about_ca_system_score_gemma":0.000003136897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007254142,"about_ca_topic_score_gemma":0.0008191486,"domain_scores_codex":[0.9996935,0.000005870952,0.00009003785,0.00007354607,0.00006774008,0.00006933642],"domain_scores_gemma":[0.9997143,0.00005296871,0.00002778236,0.000149341,0.00003999363,0.00001566277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000004451455,0.00001731182,0.00210943,0.00000328019,0.00002817594,2.139774e-7,0.0005748401,0.00006647055,0.00216789,0.8765831,0.0009820816,0.1174628],"study_design_scores_gemma":[0.001605791,0.0003456849,0.7816018,0.00003549751,0.00003350923,0.00002424332,0.00187947,0.1498282,0.01679641,0.009782957,0.03759588,0.0004705099],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9025465,0.0003608824,0.08795676,0.003833796,0.0006210258,0.0001672208,0.000002045813,0.00004987748,0.004461932],"genre_scores_gemma":[0.997384,0.00007127082,0.00203254,0.0002309387,0.00004100784,7.679543e-7,0.000001161177,0.00000123158,0.0002370728],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8668001,"threshold_uncertainty_score":0.1034439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01678848910659597,"score_gpt":0.2353309884519415,"score_spread":0.2185424993453456,"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."}}