{"id":"W3214381038","doi":"10.1109/jsait.2021.3126687","title":"On Streaming Codes With Unequal Error Protection","year":2021,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Information Theory","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Network packet; Converse; Coding (social sciences); Packet loss; Forward error correction; Computer network; Algorithm; Theoretical computer science; Decoding methods; Mathematics","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":[0.002186492,0.001242071,0.0006577577,0.001242409,0.0006942863,0.0009647788,0.001101063,0.001035825,0.001967304],"category_scores_gemma":[0.01234057,0.0003535269,0.0003791405,0.001705292,0.002662123,0.002619346,0.002597527,0.002048094,0.0004442004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001678909,"about_ca_system_score_gemma":0.001619579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002527236,"about_ca_topic_score_gemma":0.001530696,"domain_scores_codex":[0.9978591,0.0008074217,0.00009573079,0.0002217644,0.0007086573,0.0003073337],"domain_scores_gemma":[0.9920099,0.005265952,0.0006536502,0.0009552231,0.000953132,0.0001622645],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002004528,0.00003735625,0.000466209,0.0001341921,0.00001622077,0.0001745974,0.000232663,0.2920069,0.006821303,0.657865,0.001768709,0.04027637],"study_design_scores_gemma":[0.00003956308,0.0001547164,0.0001946572,0.00009339283,0.00001208826,0.0002450025,0.00005155611,0.6969877,0.005007669,0.293024,0.004150731,0.00003886208],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05058554,0.001618083,0.9286788,0.0007873792,0.0001226333,0.0001062864,0.0002631659,0.0002324678,0.01760564],"genre_scores_gemma":[0.8344903,0.002847486,0.155925,0.0004896215,0.0003214379,0.0003181613,0.0003665865,0.0001053776,0.005136117],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002527236,"threshold_uncertainty_score":0.0121814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02265578548945043,"score_gpt":0.2578223597138214,"score_spread":0.235166574224371,"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."}}