{"id":"W2163868972","doi":"10.1109/dcc.2011.35","title":"Fast R-D Optimal Packetization of Embedded Bitstreams into Independent Source Packets","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced Data Compression Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Network packet; Interleaving; Computer science; Algorithm; Theoretical computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001692,0.0001559467,0.0001823494,0.0001584041,0.00005810491,0.00003250604,0.00111777,0.00008476416,0.0001566572],"category_scores_gemma":[0.00004512411,0.0001305485,0.00004998378,0.0003374242,0.0000678505,0.0008802766,0.0008092381,0.0001099112,0.00003749405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002474927,"about_ca_system_score_gemma":0.00003729128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005515608,"about_ca_topic_score_gemma":0.000008310555,"domain_scores_codex":[0.9986607,0.00006256731,0.0003296123,0.0003976104,0.0003394954,0.0002100454],"domain_scores_gemma":[0.9985781,0.0000371359,0.0001962232,0.0009409948,0.0001438756,0.0001037104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005988687,0.0006831478,0.003441194,0.00006301267,0.00004681455,0.00002110796,0.01180791,0.0003503878,0.04921916,0.1398147,0.004232921,0.7902598],"study_design_scores_gemma":[0.0003189826,0.000217274,0.001740166,0.00005569596,0.000005593366,0.00001460751,0.0002837723,0.02219283,0.959637,0.01446643,0.0007516057,0.0003160805],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02308061,0.00002188458,0.9720097,0.000034613,0.0000807422,0.0001622066,0.00000263508,0.0005201201,0.004087456],"genre_scores_gemma":[0.5437948,0.00000986614,0.4559152,0.00005349177,0.000009951979,0.00001148269,0.000006546634,0.000008946843,0.0001897519],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9104178,"threshold_uncertainty_score":0.5323615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01937416616964656,"score_gpt":0.2527023655473102,"score_spread":0.2333281993776637,"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."}}