{"id":"W2098769355","doi":"10.4108/icst.collaboratecom2009.8310","title":"CASTLE: A social framework for collaborative anti-phishing databases","year":2009,"lang":"en","type":"article","venue":"","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Phishing; Cornerstone; Computer science; The Internet; World Wide Web; Internet users; Computer security; Internet privacy; Database; History","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":[0.0001778704,0.00008786439,0.0001129902,0.00005275295,0.0003190051,0.0002611323,0.0003158419,0.00005339102,0.00001480551],"category_scores_gemma":[0.0001608065,0.00008105769,0.00004011554,0.0005042613,0.00001527843,0.0007383071,0.00004212242,0.0001010547,0.00001236789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002630463,"about_ca_system_score_gemma":0.00005540483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002202989,"about_ca_topic_score_gemma":0.00001458387,"domain_scores_codex":[0.9992641,0.00002896264,0.0001119559,0.0002619782,0.0001418597,0.0001911943],"domain_scores_gemma":[0.9994329,0.0001647216,0.0000563413,0.0002014827,0.0001032778,0.00004130858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001202138,0.00004345831,0.00006768383,0.000004927782,0.00001034071,0.000004302209,0.001638828,0.00001664404,0.0009493853,0.9213411,0.01681581,0.05909546],"study_design_scores_gemma":[0.002315146,0.001559273,0.02679962,0.0001719197,0.00006465585,0.00006102765,0.001267813,0.07404354,0.06369118,0.6156157,0.2124076,0.002002495],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007069711,0.00004839078,0.9856679,0.004365804,0.0004973007,0.0001671888,0.00001280568,0.0002342563,0.001936652],"genre_scores_gemma":[0.7304392,0.000003777882,0.2677461,0.001323098,0.0003819799,0.000008709571,0.000004290586,0.000004072319,0.00008876712],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7233695,"threshold_uncertainty_score":0.3305437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05825021323630836,"score_gpt":0.3282145563115197,"score_spread":0.2699643430752113,"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."}}