{"id":"W4401692380","doi":"10.1109/isit57864.2024.10619539","title":"Subset Adaptive Relaying for Streaming Erasure Codes","year":2024,"lang":"en","type":"article","venue":"","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Erasure; Erasure code; Online codes; Computer network; Decoding methods; Algorithm; Block code; Programming language; Concatenated error correction code","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":[0.0007166366,0.0005675455,0.0004648081,0.0003791976,0.0003550849,0.0005602933,0.0006852699,0.0005108599,0.0009306521],"category_scores_gemma":[0.003336396,0.0001755176,0.000410386,0.0004641896,0.0007691317,0.0009516266,0.000682808,0.0006000117,0.0002711859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000627705,"about_ca_system_score_gemma":0.0004825654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001044194,"about_ca_topic_score_gemma":0.0008702663,"domain_scores_codex":[0.9994426,0.0002013382,0.00002703965,0.00009738522,0.0001723759,0.00005922652],"domain_scores_gemma":[0.9979597,0.001199003,0.0001990202,0.0003507709,0.0002358007,0.00005571607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002516637,0.00006266635,0.0009758593,0.0001798803,0.0000494197,0.0004948849,0.0003168197,0.5568125,0.03469662,0.3276125,0.001669594,0.07687763],"study_design_scores_gemma":[0.00001735256,0.0001534041,0.0002360409,0.00001657128,0.0000183235,0.0002346907,0.00003038655,0.9500659,0.00600245,0.03988008,0.003326386,0.00001847476],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.102042,0.0008072025,0.8894659,0.0002215788,0.00004456616,0.00007942921,0.0001043844,0.0002207905,0.007014208],"genre_scores_gemma":[0.8895844,0.001225711,0.1056619,0.0001146829,0.0001085496,0.0001225894,0.0001459504,0.00004358495,0.002992675],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001044194,"threshold_uncertainty_score":0.004554391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03234283740478306,"score_gpt":0.2541689741761917,"score_spread":0.2218261367714087,"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."}}