{"id":"W2146070963","doi":"","title":"Improving ZRP Routing Protocol Against Black Hole Attacks In Mobile Adhoc Networks(MANET)","year":2014,"lang":"en","type":"article","venue":"Journal of academic and applied studies","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer network; Computer science; Zone Routing Protocol; Wireless Routing Protocol; Routing protocol; Link-state routing protocol; Enhanced Interior Gateway Routing Protocol; Dynamic Source Routing; Interior gateway protocol; Packet drop attack; Optimized Link State Routing Protocol; Hybrid routing; Network packet; Distributed computing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001605815,0.0002476515,0.0005908364,0.0001188102,0.0001617722,0.00007281818,0.0006846047,0.0001895846,8.696339e-7],"category_scores_gemma":[0.00007746423,0.000194052,0.00007028488,0.0003154909,0.0001573192,0.0003505164,0.0005999676,0.001303297,0.000002899914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006858612,"about_ca_system_score_gemma":0.00004307512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001047782,"about_ca_topic_score_gemma":0.000001923818,"domain_scores_codex":[0.9978552,0.00008695239,0.0009154195,0.0003359352,0.0003236879,0.0004827903],"domain_scores_gemma":[0.9983889,0.0003575906,0.0008270776,0.0002229841,0.00007622818,0.0001272612],"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":[0.0001243261,0.00008860143,0.005969175,0.0002248368,0.0001626923,0.00002966687,0.005550547,0.3239002,0.002147482,0.007042028,0.005216568,0.6495439],"study_design_scores_gemma":[0.005961366,0.0008151178,0.003807065,0.001183613,0.00006072754,0.00005884477,0.003437778,0.9586686,0.001369838,0.003005657,0.02055121,0.001080149],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4561925,0.00646388,0.4878348,0.0009671002,0.0008938328,0.04143682,9.796842e-7,0.0002300619,0.005979948],"genre_scores_gemma":[0.9908373,0.0006394747,0.003957936,0.0005714938,0.0009326396,0.003009114,1.696406e-7,0.00001851174,0.00003335013],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6484637,"threshold_uncertainty_score":0.7913212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01748371242831085,"score_gpt":0.2910351291881729,"score_spread":0.273551416759862,"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."}}