{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001297179,0.0008688321,0.0007656165,0.01349574,0.001093302,0.005370561,0.0006565974,0.0009010707,0.001587062],"category_scores_gemma":[0.007418553,0.0005066475,0.0008285199,0.009572541,0.0008409959,0.008901977,0.001903363,0.001111854,0.001474924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004952099,"about_ca_system_score_gemma":0.0008931635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00299991,"about_ca_topic_score_gemma":0.004446802,"domain_scores_codex":[0.9988093,0.0002971588,0.0001322246,0.000216436,0.0004333919,0.0001113437],"domain_scores_gemma":[0.9957433,0.001808909,0.0007013857,0.0007290972,0.0007657622,0.0002514395],"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":[0.0002769588,0.0005640957,0.1457035,0.002830999,0.0004306142,0.002196182,0.004738257,0.009687805,0.01291272,0.0414589,0.04503455,0.7341654],"study_design_scores_gemma":[0.00005394854,0.0002567247,0.1163626,0.001621171,0.0003963814,0.003990904,0.01646447,0.2636994,0.01973071,0.2919241,0.2852942,0.0002053733],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4376456,0.02571557,0.4499797,0.006032851,0.0005751014,0.001222768,0.03353394,0.009416447,0.03587802],"genre_scores_gemma":[0.6133002,0.01400432,0.3193139,0.0009970259,0.0006899402,0.0006173865,0.0401841,0.0009724327,0.009920678],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01349574,"threshold_uncertainty_score":0.006860197,"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."}}