{"id":"W2577316929","doi":"10.1109/mmsp.2016.7813407","title":"Novel UEP product code scheme with protograph-based linear permutation and iterative decoding for scalable image transmission","year":2016,"lang":"en","type":"article","venue":"","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Decoding methods; Permutation (music); Computer science; Code (set theory); Transmission (telecommunications); Scheme (mathematics); Scalability; Product (mathematics); Algorithm; Theoretical computer science; Mathematics; Telecommunications","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":[0.0001953211,0.0001339818,0.0001195916,0.00008088057,0.0002017115,0.0001401573,0.0002019124,0.00002932133,0.00001171436],"category_scores_gemma":[0.00002276496,0.00006890977,0.00002637156,0.0001788959,0.00005777028,0.001110292,0.000045033,0.00004122714,0.000002050767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001267089,"about_ca_system_score_gemma":0.00006416523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001025236,"about_ca_topic_score_gemma":0.000003238022,"domain_scores_codex":[0.9989858,0.00001785951,0.000146595,0.0004816102,0.0001700036,0.0001981848],"domain_scores_gemma":[0.9993137,0.00008787388,0.00006227101,0.0002601955,0.0001874169,0.00008858276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002178204,0.0002168086,0.0007122558,0.0001280304,0.00001817897,0.00000292151,0.0003928995,0.00003155423,0.74039,0.004579722,0.0005083238,0.2528015],"study_design_scores_gemma":[0.002098983,0.0003114205,0.0003234951,0.0002542104,0.000005391135,0.000009115713,0.00001136377,0.7534067,0.2395836,0.0002862184,0.003495741,0.0002137083],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005316606,0.0000265227,0.9919922,0.001347461,0.00002571905,0.001052846,0.0000233167,0.0001111892,0.0001041716],"genre_scores_gemma":[0.04311893,0.000004331031,0.9563718,0.00008783521,0.00003717308,0.0001790602,0.00001142065,0.00001047344,0.000178991],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7533752,"threshold_uncertainty_score":0.2810059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01951792468814729,"score_gpt":0.2690251783134539,"score_spread":0.2495072536253066,"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."}}