{"id":"W2014692197","doi":"10.1007/s11276-006-6147-8","title":"A Constraint Formulation for Minimum-Energy Multicast Routing in Wireless Multihop Ad-hoc Networks","year":2006,"lang":"en","type":"article","venue":"Wireless Networks","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Wireless ad hoc network; Computer network; Multicast; Distributed computing; Integer programming; Heuristic; Ad hoc wireless distribution service; Energy consumption; Relay; Routing (electronic design automation); Wireless; Optimized Link State Routing Protocol; Routing protocol; Algorithm; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002070971,0.001510505,0.001549606,0.0008874895,0.0008350959,0.002284564,0.002965005,0.002550157,0.007860093],"category_scores_gemma":[0.006905925,0.001023023,0.0009379109,0.002920507,0.0007557675,0.002663983,0.001378618,0.002195647,0.0008545296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001516877,"about_ca_system_score_gemma":0.00160267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009522413,"about_ca_topic_score_gemma":0.009707619,"domain_scores_codex":[0.9987232,0.0005210522,0.0000632168,0.0001683386,0.0003977678,0.000126425],"domain_scores_gemma":[0.9973893,0.001961602,0.000152862,0.00007492138,0.0003480025,0.00007334213],"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":[0.00005393737,0.00007470208,0.0002100015,0.0003841648,0.00004410572,0.0002870558,0.00008519847,0.8747531,0.0007780506,0.08645543,0.00717762,0.02969675],"study_design_scores_gemma":[0.00002962219,0.00002595018,0.00009142508,0.00004911394,0.00001531944,0.00005865546,0.00003564596,0.969555,0.0002742696,0.02554077,0.004312002,0.00001229256],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00415845,0.0008474825,0.9831032,0.0008059826,0.0001814704,0.0001511668,0.000575391,0.0001006916,0.01007617],"genre_scores_gemma":[0.2601523,0.002713655,0.7175054,0.0005959539,0.0004711448,0.001010713,0.001274262,0.0002586354,0.01601801],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009522413,"threshold_uncertainty_score":0.02629465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01100072351455254,"score_gpt":0.2308510834784031,"score_spread":0.2198503599638506,"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."}}