{"id":"W2051974480","doi":"10.1007/s11227-011-0662-9","title":"Revisiting relative neighborhood graph-based broadcasting algorithms for multimedia ad hoc wireless networks","year":2011,"lang":"en","type":"article","venue":"The Journal of Supercomputing","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Computer network; Broadcast radiation; Broadcasting (networking); Wireless ad hoc network; Wireless; Wireless network; Latency (audio); Multimedia Broadcast Multicast Service; Atomic broadcast; Node (physics); Algorithm; Distributed computing; Telecommunications; Multicast","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":[0.004199329,0.0003271475,0.0005344094,0.0001805359,0.0005798083,0.0001317871,0.001859704,0.0001430137,0.000009656246],"category_scores_gemma":[0.0002419553,0.0002381093,0.0003440608,0.0007230357,0.0001246378,0.0009396104,0.0003175409,0.000954937,0.000003311599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008704177,"about_ca_system_score_gemma":0.0001289733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001206688,"about_ca_topic_score_gemma":0.000001740564,"domain_scores_codex":[0.9968724,0.0004559225,0.001133632,0.0003265108,0.0004667582,0.0007448069],"domain_scores_gemma":[0.9950289,0.002673061,0.0009706972,0.0005322959,0.0005841108,0.0002109603],"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":[0.0001036712,0.00008925369,0.001437545,0.00004282329,0.0001705064,0.00006079204,0.00796574,0.04924418,0.0002522485,0.001701154,0.0001503605,0.9387817],"study_design_scores_gemma":[0.001065889,0.0003034563,0.001094494,0.0006472211,0.00007988575,0.0002069471,0.0003614763,0.9943236,0.0002879951,0.001278611,0.00006785731,0.0002826113],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02962916,0.002685028,0.9658645,0.0002315479,0.0009390265,0.0003585423,0.000001178793,0.0000897035,0.0002012936],"genre_scores_gemma":[0.6991274,0.00006556872,0.2995648,0.0002394453,0.0009573347,0.00000372358,0.000001131138,0.00003519684,0.000005339909],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9450794,"threshold_uncertainty_score":0.9709814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03750323977494538,"score_gpt":0.2517758194162315,"score_spread":0.2142725796412861,"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."}}