{"id":"W1980559443","doi":"10.1109/aina.2014.26","title":"Efficient Beacon-Less Broadcasting in MANETs","year":2014,"lang":"en","type":"article","venue":"","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer network; Computer science; Broadcasting (networking); Flooding (psychology); Mobile ad hoc network; Node (physics); Beacon; Wireless ad hoc network; Overhead (engineering); Simple (philosophy); Distributed computing; Telecommunications; Wireless; Network packet; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004530061,0.00009248851,0.0001171425,0.00006736978,0.00003978986,0.00007849497,0.0006177775,0.00004363854,0.00002175823],"category_scores_gemma":[0.00002766377,0.00008341417,0.00002483845,0.0002960328,0.00001815497,0.00006064945,0.0002850751,0.0001209469,0.0001095575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002875503,"about_ca_system_score_gemma":0.00001406934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007359219,"about_ca_topic_score_gemma":0.0000572901,"domain_scores_codex":[0.9989267,0.00006255793,0.0001880792,0.0003297001,0.0001769643,0.0003160017],"domain_scores_gemma":[0.9992549,0.0001541789,0.00004113284,0.0004581307,0.00002113874,0.00007046279],"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":[0.000001969247,0.00008539097,0.002975171,0.0000118642,0.000003037236,0.00002064863,0.0003770452,0.2366762,0.0001781023,0.1740253,0.0008580207,0.5847873],"study_design_scores_gemma":[0.000204076,0.00002179882,0.005392923,0.00002004383,5.301248e-7,0.000008669094,0.000009423366,0.992164,0.0001781261,0.0004304195,0.001457503,0.0001125413],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1897559,0.00003123045,0.7750701,0.0001936304,0.0002917093,0.0001054854,5.42241e-8,0.0001421191,0.03440974],"genre_scores_gemma":[0.9729568,6.438718e-7,0.02621374,0.0004098403,0.000074273,0.00001075138,3.51299e-7,0.000005836863,0.0003277324],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7832009,"threshold_uncertainty_score":0.3401531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01216858168519719,"score_gpt":0.2215337351745744,"score_spread":0.2093651534893772,"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."}}