{"id":"W2024287812","doi":"10.1155/2007/98938","title":"Tree-Based Distributed Multicast Algorithms for Directional Communications and Lifetime Optimization in Wireless Ad Hoc Networks","year":2007,"lang":"en","type":"article","venue":"EURASIP Journal on Wireless Communications and Networking","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Multicast; Computer science; Computer network; Source-specific multicast; Distributed computing; Pragmatic General Multicast; Xcast; Protocol Independent Multicast; Wireless ad hoc network; Reliable multicast; Directional antenna; Omnidirectional antenna; IP multicast; Algorithm; Wireless; Antenna (radio); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001269388,0.0005107363,0.0008434798,0.0004946212,0.0005935602,0.0005919625,0.001132218,0.000855064,0.0008742669],"category_scores_gemma":[0.002853232,0.0001927598,0.000346048,0.0009572589,0.0004103442,0.00143187,0.0007439209,0.000661962,0.0002347984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005216482,"about_ca_system_score_gemma":0.0005210842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007394901,"about_ca_topic_score_gemma":0.0007710602,"domain_scores_codex":[0.9995584,0.0001855123,0.00001770825,0.00004856943,0.0001498648,0.00003991876],"domain_scores_gemma":[0.9991034,0.0005427374,0.00009481446,0.00006488727,0.0001595004,0.00003471013],"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":[0.0001160687,0.00008297678,0.0004471131,0.0001267066,0.00004957081,0.00004075558,0.0001567818,0.768266,0.004112803,0.05484549,0.003407734,0.168348],"study_design_scores_gemma":[0.00002571698,0.00006073319,0.00005891175,0.000006548085,0.00001021625,0.00002463762,0.00001684923,0.9787883,0.0007036143,0.01867688,0.001621519,0.000006086246],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0109883,0.0007812154,0.9866204,0.0001597434,0.00003422582,0.0000227158,0.00001802419,0.0001810964,0.001194287],"genre_scores_gemma":[0.4801158,0.001715657,0.514176,0.0001694008,0.0001508056,0.0002758906,0.0001468474,0.0001003265,0.003149398],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001269388,"threshold_uncertainty_score":0.006713212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03429157620041687,"score_gpt":0.2930254583480744,"score_spread":0.2587338821476576,"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."}}