{"id":"W2048123736","doi":"10.1109/vtcfall.2012.6399335","title":"A Trust Distribution Service for MANETs","year":2012,"lang":"en","type":"article","venue":"","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Trust management (information system); Gossip; Computer science; Computer network; Reputation; Computational trust; Node (physics); Mobile ad hoc network; Gossip protocol; Computer security; Wireless ad hoc network; Service (business); Trust anchor; Routing (electronic design automation); Distributed computing; Wireless; Telecommunications; Business; Network packet","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":[0.00197531,0.0006918955,0.0007005409,0.0009054633,0.001246744,0.002435514,0.001449777,0.001512316,0.008379193],"category_scores_gemma":[0.007002297,0.0004262432,0.0007598642,0.00146661,0.0007159215,0.002781644,0.002094964,0.002489935,0.007277669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001284597,"about_ca_system_score_gemma":0.00233772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003611702,"about_ca_topic_score_gemma":0.002158676,"domain_scores_codex":[0.9979333,0.0004704439,0.0002175163,0.0001929186,0.001045473,0.0001404632],"domain_scores_gemma":[0.9979621,0.0003858559,0.0001711366,0.0006303039,0.0005666249,0.0002839174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004032436,0.0002769614,0.001726106,0.0006020695,0.0001273188,0.001029972,0.0005445203,0.04235406,0.01411271,0.2552287,0.1215899,0.5620044],"study_design_scores_gemma":[0.0001909411,0.0002433872,0.0005765707,0.0001326143,0.00006354529,0.001268353,0.0001266319,0.4341423,0.009035325,0.0909877,0.4631041,0.0001285489],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004189691,0.001136522,0.9677996,0.001254568,0.0006041373,0.0004231597,0.0005740339,0.0122753,0.01174293],"genre_scores_gemma":[0.3050492,0.00417072,0.6341704,0.001070385,0.001078454,0.001340872,0.005117634,0.002406571,0.04559582],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008379193,"threshold_uncertainty_score":0.02803117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0173621624206957,"score_gpt":0.2455522767678135,"score_spread":0.2281901143471178,"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."}}