{"id":"W2181556729","doi":"10.1109/eisic.2011.78","title":"Dark Web: Exploring and Mining the Dark Side of the Web","year":2011,"lang":"en","type":"article","venue":"","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"World Wide Web; Web standards; The Internet; Deep Web; Web analytics; Web page; Computer science; Terrorism; Web development; Political science; Web application security","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002769082,0.00005121641,0.00005154548,0.00002191978,0.0001333031,0.00004588082,0.0004622945,0.00001711745,0.000007175414],"category_scores_gemma":[0.0000374717,0.00002623962,0.00002604396,0.000176392,0.00004400214,0.0002783308,0.0002203034,0.00006493236,0.0000031611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004887363,"about_ca_system_score_gemma":0.0000219316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001004253,"about_ca_topic_score_gemma":0.00008126663,"domain_scores_codex":[0.9995279,0.00004248863,0.00009143069,0.0001272502,0.0001163824,0.00009450861],"domain_scores_gemma":[0.9994641,0.00008312662,0.0000441828,0.0003686745,0.00001918112,0.00002072145],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00005852411,0.0001584307,0.1370754,0.0000895399,0.0001562205,0.00001274696,0.1228734,0.0001015266,0.09556928,0.1406052,0.01545136,0.4878484],"study_design_scores_gemma":[0.001422558,0.0005053275,0.5020615,0.0002922237,0.00007375003,0.0001568011,0.0057921,0.07261041,0.3555163,0.03804067,0.02259853,0.0009297963],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9447413,0.00006203959,0.003935963,0.0004131205,0.0006958728,0.0000595831,2.452907e-7,0.00006201747,0.05002983],"genre_scores_gemma":[0.9959465,0.0000143028,0.00369572,0.0001414652,0.00003512778,0.000005593351,1.903058e-8,0.000003081518,0.0001582189],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4869186,"threshold_uncertainty_score":0.1070021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07875577335731562,"score_gpt":0.216789358701535,"score_spread":0.1380335853442193,"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."}}