{"id":"W2171637264","doi":"10.1109/wetice.2008.32","title":"Defusing Intrusion Capabilities by Collaborative Anomalous Trust","year":2008,"lang":"en","type":"article","venue":"","topic":"Access Control and Trust","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Trust management (information system); Computer science; Computer security; Trusted Computing; Trust anchor; Intrusion detection system; Service (business); Encryption; Web service; Computational trust; World Wide Web; Business","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005936259,0.0004251678,0.0005449376,0.0009819196,0.0009681336,0.002610141,0.001254947,0.001185203,0.0008214603],"category_scores_gemma":[0.02026701,0.0003244696,0.0006080177,0.0006013397,0.004462483,0.00675514,0.00552125,0.002065656,0.00020571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007975537,"about_ca_system_score_gemma":0.001528837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007329757,"about_ca_topic_score_gemma":0.0006810919,"domain_scores_codex":[0.9920421,0.003437238,0.0005019699,0.0007914827,0.002542906,0.0006841369],"domain_scores_gemma":[0.9730017,0.00826847,0.00518071,0.01030978,0.002449846,0.0007894258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002031016,0.0001931496,0.01094706,0.0001858903,0.0001425725,0.0008947534,0.006662331,0.02990451,0.02662992,0.736751,0.001696503,0.1857891],"study_design_scores_gemma":[0.0000658629,0.0005469539,0.003356614,0.0001783465,0.0001639014,0.002162209,0.001935838,0.2562872,0.03520782,0.6760928,0.02389572,0.0001067318],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2224022,0.0002874772,0.7532485,0.001956533,0.00004029619,0.00009467505,0.0000229904,0.0008753318,0.02107194],"genre_scores_gemma":[0.9554106,0.00006960257,0.04321395,0.0001004114,0.0000219164,0.0000384029,0.00001053263,0.00002130463,0.001113295],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005936259,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01336091275305817,"score_gpt":0.2660681334416364,"score_spread":0.2527072206885783,"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."}}