{"id":"W2101935851","doi":"10.1109/milcom.2010.5680135","title":"Efficient broadcasting in tactical networks: Forwarding vs. network coding","year":2010,"lang":"en","type":"article","venue":"","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Communications Research Centre Canada; Carleton University","funders":"","keywords":"Computer science; Computer network; Linear network coding; Packet forwarding; Network packet; Broadcasting (networking); Broadcast communication network; Routing protocol; Distributed computing","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":[0.001264616,0.0001676828,0.0002186152,0.0001073385,0.0003613454,0.000298165,0.001013345,0.00009141837,0.00008263999],"category_scores_gemma":[0.0002274862,0.0001562061,0.00006759183,0.001064157,0.0000510403,0.0001933615,0.0008532502,0.0007582724,0.00003198729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004708429,"about_ca_system_score_gemma":0.00004571065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007261237,"about_ca_topic_score_gemma":0.0001648154,"domain_scores_codex":[0.9983094,0.0001406014,0.000375674,0.0003952137,0.0001997756,0.0005793197],"domain_scores_gemma":[0.9983606,0.000599093,0.00008226297,0.0007312979,0.00008683118,0.0001399583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001073639,0.00008657973,0.009254994,0.000005073525,0.00001141386,0.00001640459,0.0004600848,0.2597373,0.001049633,0.6167914,0.001390057,0.1111863],"study_design_scores_gemma":[0.0002625742,0.00001729616,0.003169405,0.00004437488,0.000001920945,0.00001697016,0.00001588801,0.9922433,0.00007549935,0.0002057599,0.003744873,0.0002021736],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03988657,0.0001436715,0.9398277,0.001251594,0.001023537,0.0001842096,7.803628e-8,0.0002604423,0.01742223],"genre_scores_gemma":[0.9442723,0.00005685927,0.05461691,0.0006329775,0.0002901849,0.00001603165,9.573502e-7,0.00001129958,0.0001025172],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9043857,"threshold_uncertainty_score":0.63699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02332743471944599,"score_gpt":0.2761002871284841,"score_spread":0.2527728524090381,"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."}}