{"id":"W2042223646","doi":"10.1155/2008/329727","title":"Average Throughput with Linear Network Coding over Finite Fields: The Combination Network Case","year":2008,"lang":"en","type":"article","venue":"EURASIP Journal on Wireless Communications and Networking","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Linear network coding; Computer science; Finite field; Throughput; Coding (social sciences); Code (set theory); Field (mathematics); Algorithm; Theoretical computer science; Computer network; Mathematics; Discrete mathematics; Statistics; Telecommunications; Programming language","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001346121,0.0002971782,0.0003208352,0.00008224731,0.006488028,0.0004421795,0.001886857,0.0000983729,0.00001335686],"category_scores_gemma":[0.00002548236,0.0002111586,0.0001001789,0.001038944,0.0003006601,0.0005621309,0.0009644771,0.001454756,0.000006785243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007148935,"about_ca_system_score_gemma":0.00007966355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008655223,"about_ca_topic_score_gemma":0.0001411196,"domain_scores_codex":[0.9972324,0.001041525,0.0005611092,0.0003110172,0.0003352825,0.0005187047],"domain_scores_gemma":[0.9949495,0.002215524,0.000477033,0.001948736,0.0002464687,0.0001627774],"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":[0.0001655601,0.000529216,0.02094708,0.00002201303,0.0004992431,0.001538113,0.01270182,0.2436684,0.00001818399,0.2616847,0.01247343,0.4457523],"study_design_scores_gemma":[0.0009739691,0.0002908861,0.001911397,0.0004971648,0.00002424715,0.005600841,0.00006437832,0.9073344,0.000004511128,0.001156815,0.08170931,0.0004320711],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06313028,0.01699267,0.9017004,0.0108544,0.001058738,0.0006212983,0.000001586413,0.0002615237,0.005379126],"genre_scores_gemma":[0.9306423,0.05763642,0.008524207,0.002263474,0.000767862,0.00002394933,0.000006228675,0.00002758439,0.0001079589],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8931761,"threshold_uncertainty_score":0.9948054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06244388400439737,"score_gpt":0.2870208974639774,"score_spread":0.22457701345958,"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."}}