{"id":"W2135410054","doi":"10.1186/1687-1499-2013-106","title":"Data dissemination with rateless coding in a grid vehicular topology","year":2013,"lang":"en","type":"article","venue":"EURASIP Journal on Wireless Communications and Networking","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Iran University of Science and Technology; Isfahan University of Technology; University of Victoria; University of Canterbury","keywords":"Computer science; Computer network; Vehicular ad hoc network; Coding (social sciences); Wireless ad hoc network; Grid; Dissemination; Decoding methods; Network topology; Ranging; Crash; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008486613,0.0001608133,0.0002309173,0.0001456743,0.0005114476,0.0005059725,0.002604969,0.00007017024,0.000006874307],"category_scores_gemma":[0.00001011084,0.0001314769,0.00002114954,0.0005074067,0.0001202977,0.0009042671,0.001003538,0.0007529787,0.000005668975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005781965,"about_ca_system_score_gemma":0.00004035035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002037174,"about_ca_topic_score_gemma":0.0001367986,"domain_scores_codex":[0.9983553,0.000420292,0.0003884422,0.000306591,0.0001986766,0.000330687],"domain_scores_gemma":[0.9969215,0.0006721531,0.0002742239,0.001912766,0.0001016758,0.0001176166],"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":[0.00001780303,0.0001725836,0.0184771,0.0000123759,0.00005344937,0.00006609387,0.001119293,0.001407576,0.0002565315,0.02915413,0.001388316,0.9478748],"study_design_scores_gemma":[0.0004380498,0.0001293558,0.00942672,0.0006097372,0.000009173395,0.0003746011,0.0001672449,0.9766401,0.00002060393,0.0005688326,0.01135875,0.0002568083],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5255904,0.009075202,0.44627,0.01392847,0.001433643,0.000961379,0.000004588494,0.0001751714,0.002561234],"genre_scores_gemma":[0.9858464,0.006462132,0.007115657,0.0001975538,0.0002897185,0.00003174346,0.00002073712,0.0000155734,0.00002049288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9752325,"threshold_uncertainty_score":0.5361471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03790265162574818,"score_gpt":0.2933127146743258,"score_spread":0.2554100630485776,"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."}}