{"id":"W2135870687","doi":"10.1109/isit.2008.4595149","title":"Packet loss recovery codes based on Vandermonde matrices and shift operators","year":2008,"lang":"en","type":"article","venue":"","topic":"Error Correcting Code Techniques","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Vandermonde matrix; Network packet; Computer science; Fountain code; Erasure; Algorithm; Erasure code; Online codes; Matrix (chemical analysis); Block code; Decoding methods; Theoretical computer science; Hamming code; Computer network","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":[0.000469296,0.0004481956,0.0002887496,0.0007196163,0.0002745107,0.0005179768,0.0004833722,0.0004685078,0.001004258],"category_scores_gemma":[0.002210885,0.0002048041,0.0002896294,0.0007606431,0.0006621495,0.0007381429,0.0004841706,0.0007379463,0.0004035579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004290281,"about_ca_system_score_gemma":0.0009281258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001470993,"about_ca_topic_score_gemma":0.001255299,"domain_scores_codex":[0.9994887,0.0001360382,0.00002531343,0.00004553294,0.0002514859,0.0000529165],"domain_scores_gemma":[0.9991715,0.0003521721,0.0001188144,0.0001310818,0.0001990348,0.00002741777],"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":[0.0003639231,0.00006932554,0.0008994921,0.0002151536,0.00004482384,0.000245283,0.000272276,0.3439004,0.06141286,0.4542667,0.002012406,0.1362973],"study_design_scores_gemma":[0.00006209977,0.0002481833,0.0003710911,0.00005179374,0.00001993037,0.0003062002,0.00003309777,0.8600447,0.04684434,0.08299947,0.008960233,0.0000589042],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0513186,0.0008744706,0.9431306,0.0001539885,0.00005731897,0.00007975806,0.00009025782,0.0004155104,0.003879404],"genre_scores_gemma":[0.558903,0.001566029,0.4326075,0.0001465547,0.00007247406,0.0002578949,0.0002342695,0.00008882044,0.00612347],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001470993,"threshold_uncertainty_score":0.003359556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01682331555000532,"score_gpt":0.2439950877380881,"score_spread":0.2271717721880827,"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."}}