{"id":"W2096927040","doi":"10.1155/2010/258935","title":"COSR: A Reputation-Based Secure Route Protocol in MANET","year":2010,"lang":"en","type":"article","venue":"EURASIP Journal on Wireless Communications and Networking","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Francis Xavier University","funders":"Program for New Century Excellent Talents in University","keywords":"Computer science; Computer network; Mobile ad hoc network; Reputation; Node (physics); Protocol (science); Computer security; Wireless ad hoc network; Routing protocol; Distributed computing; Routing (electronic design automation); Telecommunications; Wireless","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":[0.001128006,0.0005038043,0.0005809217,0.0007879253,0.0007105779,0.0009076708,0.001193858,0.0008199324,0.001055136],"category_scores_gemma":[0.002246948,0.0002063506,0.0004217113,0.0007143438,0.000789255,0.001751925,0.001200608,0.0007722474,0.0006626201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004777325,"about_ca_system_score_gemma":0.0008474709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001656125,"about_ca_topic_score_gemma":0.001456358,"domain_scores_codex":[0.9990701,0.0002859419,0.00007193711,0.0001296092,0.0003669431,0.00007552048],"domain_scores_gemma":[0.9990492,0.000192172,0.0001829055,0.0002449437,0.0002583755,0.000072389],"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":[0.001356328,0.000330031,0.003066687,0.0009209651,0.0002698916,0.001843185,0.0007509455,0.2629739,0.06694377,0.1937482,0.03276736,0.4350289],"study_design_scores_gemma":[0.0002596193,0.0009779054,0.0008287883,0.00006526408,0.0001561822,0.001655774,0.0001562896,0.874602,0.02846431,0.03209845,0.06056084,0.0001746068],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03619584,0.0017123,0.9462019,0.0008578318,0.0004406338,0.0003499429,0.0002219969,0.004430041,0.009589493],"genre_scores_gemma":[0.783245,0.001621579,0.2060342,0.0003128256,0.000203479,0.0003818594,0.0005425464,0.000194039,0.007464487],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001656125,"threshold_uncertainty_score":0.005965531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0216076817495598,"score_gpt":0.2947577962754468,"score_spread":0.273150114525887,"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."}}