{"id":"W2084046929","doi":"10.1109/glocom.2010.5685226","title":"Secure Cooperation Incentive Scheme with Limited Use of Public Key Cryptography for Multi-Hop Wireless Network","year":2010,"lang":"en","type":"article","venue":"","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Cryptography; Computer network; Public-key cryptography; Key (lock); Scheme (mathematics); Computer security; Wireless; Incentive; Wireless network; Pre-shared key; ID-based cryptography; Key distribution; Telecommunications; Encryption; Mathematics","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":[0.002771941,0.0004870567,0.0008204917,0.0007801455,0.001057805,0.0008111545,0.001547938,0.0009379851,0.001550849],"category_scores_gemma":[0.00467513,0.0002672557,0.0005225106,0.0009351319,0.0009079125,0.004140221,0.002231647,0.001222852,0.0003294023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008457284,"about_ca_system_score_gemma":0.001673246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000404099,"about_ca_topic_score_gemma":0.0002661148,"domain_scores_codex":[0.9976816,0.0007943267,0.0001811585,0.0002118632,0.000865931,0.0002650789],"domain_scores_gemma":[0.9967473,0.001041302,0.0004978695,0.0008980469,0.0005620265,0.0002534436],"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":[0.002075021,0.0009773482,0.003778818,0.0006216638,0.0002451128,0.0009285417,0.0007509821,0.1419407,0.09138177,0.4235475,0.006582574,0.3271701],"study_design_scores_gemma":[0.000693617,0.001520432,0.0013613,0.00006311345,0.0001504861,0.001393877,0.0001049488,0.8577154,0.03183999,0.08742476,0.01756894,0.0001630905],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09885445,0.0007349396,0.8939994,0.0004828662,0.0002156258,0.0003152894,0.00005773733,0.0005121412,0.004827499],"genre_scores_gemma":[0.9238982,0.0002628903,0.07298986,0.0000817677,0.00008625566,0.0002014062,0.00006773345,0.00001935417,0.002392592],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002771941,"threshold_uncertainty_score":0.01465964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03535435409233986,"score_gpt":0.2477175599416241,"score_spread":0.2123632058492842,"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."}}