{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001150079,0.0002737791,0.0002977837,0.0001699302,0.0006818037,0.0001191713,0.0003510757,0.0001009156,0.00001246694],"category_scores_gemma":[2.331153e-7,0.0002362296,0.00009265599,0.0003974393,0.0002068398,0.0003490561,0.000003750991,0.0003104994,0.00001126249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004004716,"about_ca_system_score_gemma":0.0001378511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004985377,"about_ca_topic_score_gemma":0.000004223526,"domain_scores_codex":[0.9983181,0.00008016364,0.0003107857,0.0005612558,0.0003482744,0.0003813575],"domain_scores_gemma":[0.9990319,0.000190905,0.00008143548,0.000384939,0.00006694946,0.0002438744],"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":[0.0003527504,0.0002782391,0.00003506166,0.00003379113,0.0001073474,0.0005508638,0.001864172,0.0153774,0.0001712217,0.0002826207,0.0005964476,0.9803501],"study_design_scores_gemma":[0.001862284,0.0004288925,0.00003837589,0.000203304,0.00002752297,0.001067617,0.00002333734,0.9933961,0.0005795137,0.0001188224,0.001890495,0.0003637524],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02998212,0.0001096274,0.9681892,0.000247635,0.0005224326,0.0002085374,0.000003627323,0.0003424578,0.0003943625],"genre_scores_gemma":[0.8689536,0.0001298594,0.1301149,0.0005982564,0.00003860676,0.000009606269,0.000001481449,0.00001981949,0.0001338601],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9799863,"threshold_uncertainty_score":0.9633165,"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."}}