{"id":"W4252596025","doi":"10.1007/978-1-4899-7502-7_995-1","title":"Machine Learning in Secure Beliefs-Desires-Intentions Agents","year":2021,"lang":"en","type":"book-chapter","venue":"","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Computer science; Reinforcement learning; Identification (biology); Authentication (law); Context (archaeology); Computer security; Artificial intelligence; Machine learning; Human–computer interaction","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":[0.0005277251,0.0004987177,0.0003527633,0.0003054077,0.0004213692,0.001938728,0.000706883,0.000968649,0.008290403],"category_scores_gemma":[0.001899888,0.0003579769,0.0003294161,0.0006998783,0.001468235,0.002875509,0.0008746922,0.002369394,0.002284373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009217226,"about_ca_system_score_gemma":0.0004031442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008089318,"about_ca_topic_score_gemma":0.0009604224,"domain_scores_codex":[0.9997061,0.0001340495,0.00001311739,0.00004009154,0.00008696047,0.00001960781],"domain_scores_gemma":[0.9992256,0.0006096643,0.00002422174,0.00008175516,0.00004370232,0.00001509978],"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":[0.000006352023,0.0000146504,0.00008449753,0.0000589678,0.000006249729,0.00002917381,0.0001291055,0.008406755,0.0002002686,0.9302915,0.01013097,0.05064151],"study_design_scores_gemma":[0.000002675431,0.000006606225,0.00006101069,0.00004331487,0.000003734009,0.0000376738,0.00003354064,0.04119251,0.0003827005,0.9272225,0.03100808,0.000005581482],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007131231,0.01134293,0.6861458,0.009065333,0.0009368631,0.0000556279,0.0001940257,0.0004313359,0.2846968],"genre_scores_gemma":[0.3791373,0.01349866,0.2632981,0.001764823,0.001293438,0.000324473,0.0005824254,0.0004686232,0.3396322],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008290403,"threshold_uncertainty_score":0.02773416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02623042507890494,"score_gpt":0.236000852848396,"score_spread":0.209770427769491,"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."}}