{"id":"W2102436827","doi":"10.1109/tc.2008.51","title":"Localized Broadcasting with Guaranteed Delivery and Bounded Transmission Redundancy","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Computers","topic":"Opportunistic and Delay-Tolerant Networks","field":"Computer Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Broadcasting (networking); Upper and lower bounds; Approximation algorithm; Bounded function; Redundancy (engineering); Bandwidth (computing); Node (physics); Constant (computer programming); Algorithm; Computer network; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002118991,0.0008834823,0.001844346,0.001146305,0.0009616704,0.00129042,0.002311823,0.00121801,0.001425671],"category_scores_gemma":[0.01018557,0.0006419381,0.0006682118,0.001681785,0.001174969,0.002271231,0.0017853,0.001215413,0.0007420756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001350752,"about_ca_system_score_gemma":0.001405267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001819353,"about_ca_topic_score_gemma":0.001407277,"domain_scores_codex":[0.9978244,0.0007333733,0.00009816969,0.0003036317,0.0007805627,0.0002599431],"domain_scores_gemma":[0.9927413,0.003826344,0.0009521162,0.001739357,0.0006130644,0.0001278851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000968971,0.0001748691,0.0009577255,0.0007288438,0.0001642847,0.0004171491,0.0006883031,0.6121888,0.03282171,0.125313,0.008368649,0.2172078],"study_design_scores_gemma":[0.0001452946,0.000334119,0.0003014084,0.00005086727,0.00006979479,0.0004603715,0.00009973073,0.9358139,0.01121229,0.04687515,0.004601975,0.00003514791],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01673302,0.0005250935,0.9796825,0.0002292885,0.00002100584,0.00007773538,0.0000491503,0.0008754718,0.001806687],"genre_scores_gemma":[0.606142,0.0007529216,0.3890521,0.0001852431,0.000130219,0.0003800372,0.0002006567,0.0001678973,0.002988896],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002311823,"threshold_uncertainty_score":0.01120645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02071676956508932,"score_gpt":0.2091507970209899,"score_spread":0.1884340274559006,"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."}}