{"id":"W4236347696","doi":"10.1002/net.20372","title":"Exact and performance‐guaranteed multicast algorithms for lifetime optimization in WANETs","year":2009,"lang":"en","type":"article","venue":"Networks","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Multicast; Computer science; Mathematical optimization; Heuristic; Upper and lower bounds; Approximation algorithm; Connection (principal bundle); Graph; Wireless network; Optimization problem; Constant (computer programming); Algorithm; Wireless; Mathematics; Theoretical computer science; Distributed computing; Telecommunications","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":[0.0003456164,0.0001753667,0.0002184977,0.00008523544,0.0001011809,0.0001321014,0.0003721523,0.0001504934,0.000007556493],"category_scores_gemma":[0.00001570196,0.0001706353,0.00003673032,0.000353446,0.00003146451,0.0003935941,0.00007121891,0.0001967691,0.000003019465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005068581,"about_ca_system_score_gemma":0.00002053125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000646458,"about_ca_topic_score_gemma":0.000005196204,"domain_scores_codex":[0.9986473,0.00004087725,0.0002872317,0.0004283116,0.0001414155,0.0004548852],"domain_scores_gemma":[0.9993039,0.0001301372,0.00008103727,0.0003563396,0.00004703954,0.00008150593],"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":[0.00002735575,0.00004246146,0.0004485314,0.000004991798,0.000003823875,0.000004628971,0.000105865,0.6717628,0.000002336554,0.0005037007,0.0004833268,0.3266102],"study_design_scores_gemma":[0.0008855882,0.0002821147,0.004481792,0.00005568306,0.000004522344,0.00001712634,0.000004550762,0.9933229,0.00001268676,0.00007563629,0.000662093,0.0001952901],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005729093,0.000479284,0.9919487,0.0002776514,0.0002816639,0.0005523323,7.572733e-7,0.000121532,0.000608972],"genre_scores_gemma":[0.820553,0.000221459,0.1780471,0.0007652073,0.0002950232,0.00004217732,0.00001076232,0.00001276823,0.00005246913],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8148239,"threshold_uncertainty_score":0.6958306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01140662004422478,"score_gpt":0.2399722816714612,"score_spread":0.2285656616272364,"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."}}