{"id":"W1991623709","doi":"10.1145/2642687.2642692","title":"Trust-aware opportunistic routing protocol for wireless networks","year":2014,"lang":"en","type":"article","venue":"","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer network; Computer science; Routing protocol; Network packet; Forwarder; Dynamic Source Routing; Wireless Routing Protocol; Geographic routing; Packet forwarding; Link-state routing protocol; Wireless network; Wireless; Distributed computing; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007742402,0.0004473395,0.0006000657,0.0005500878,0.0009265353,0.0009623101,0.0009765434,0.0007376865,0.0008383815],"category_scores_gemma":[0.002368739,0.0001743461,0.0003223935,0.000982305,0.000586797,0.001409088,0.001035807,0.0008833909,0.0003755567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006257906,"about_ca_system_score_gemma":0.001274771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001524786,"about_ca_topic_score_gemma":0.002192101,"domain_scores_codex":[0.9993317,0.0002188253,0.00006529022,0.00005739893,0.0002651663,0.00006167592],"domain_scores_gemma":[0.9989823,0.0004593609,0.0001556726,0.0001197793,0.0002072691,0.00007571049],"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":[0.0004057906,0.0001712126,0.001775665,0.00178451,0.0002818227,0.00281583,0.0009864086,0.1285651,0.0405194,0.3260277,0.03996176,0.4567049],"study_design_scores_gemma":[0.0001224612,0.0003589967,0.001199131,0.0002553598,0.0001823113,0.002653406,0.0004444771,0.6384052,0.008532896,0.1841314,0.1635426,0.0001718402],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01154626,0.005534013,0.9653521,0.00111652,0.0006534138,0.0004798944,0.0002581622,0.0009710225,0.01408871],"genre_scores_gemma":[0.7059614,0.008114313,0.2698467,0.0006402724,0.0003872123,0.00142362,0.0007907228,0.0001096327,0.0127261],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001524786,"threshold_uncertainty_score":0.004540443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02955372918356964,"score_gpt":0.2863653893008407,"score_spread":0.2568116601172711,"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."}}