{"id":"W2760626209","doi":"10.48550/arxiv.1709.07198","title":"Cyber Insurance for Heterogeneous Wireless Networks","year":2017,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer security; Reliability (semiconductor); Service (business); Wireless network; Computer science; Wireless; Business; Risk analysis (engineering); Telecommunications","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":[0.00148771,0.0003835537,0.0004612478,0.0008915102,0.0007670255,0.00273748,0.0007992161,0.001467651,0.001739305],"category_scores_gemma":[0.005527186,0.0002376332,0.00048613,0.0007425574,0.001799456,0.004215484,0.001627977,0.001721452,0.0002274496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002264772,"about_ca_system_score_gemma":0.001029233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001649807,"about_ca_topic_score_gemma":0.0009976033,"domain_scores_codex":[0.9990426,0.0003293036,0.00005135238,0.000126828,0.0003107096,0.0001392292],"domain_scores_gemma":[0.9980494,0.001198529,0.0001945901,0.000282915,0.0001731567,0.0001014064],"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":[0.00002657612,0.00001993307,0.001063085,0.0001850586,0.0000359661,0.0004380868,0.0001844812,0.03414899,0.001428007,0.9120002,0.004223523,0.04624614],"study_design_scores_gemma":[0.00001377143,0.00005558575,0.001262584,0.0002891082,0.00006654901,0.001018599,0.0002173176,0.3223109,0.00201848,0.6088215,0.06388854,0.00003698324],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09180764,0.06056035,0.7531959,0.01343071,0.001078804,0.0001373726,0.0001924749,0.0005357198,0.07906101],"genre_scores_gemma":[0.9445958,0.02089075,0.02741696,0.0005761504,0.0006724437,0.00007227396,0.0000894959,0.00004332856,0.005642712],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00273748,"threshold_uncertainty_score":0.01643211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07288304696134598,"score_gpt":0.1904284001815963,"score_spread":0.1175453532202503,"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."}}