{"id":"W1489359393","doi":"10.1109/cwit.2015.7255157","title":"Overlapped fountain coding for delay-constrained priority-based broadcast applications","year":2015,"lang":"en","type":"article","venue":"","topic":"Error Correcting Code Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Yarmouk University","keywords":"Fountain; Fountain code; Computer science; Coding (social sciences); Computer network; Real-time computing; Telecommunications; Decoding methods; Mathematics; Geography; Block 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":[0.0004936768,0.0004000135,0.0004167314,0.0006146986,0.0007459685,0.0005456013,0.001059594,0.000525966,0.0009012609],"category_scores_gemma":[0.002203553,0.0001484105,0.0002244701,0.0006245411,0.0005728481,0.001079324,0.0008157864,0.0007617627,0.0002293573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009163503,"about_ca_system_score_gemma":0.00114148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002908794,"about_ca_topic_score_gemma":0.003180599,"domain_scores_codex":[0.9995471,0.0001019854,0.00002089704,0.00005775089,0.0001800067,0.00009226823],"domain_scores_gemma":[0.9989221,0.0003616319,0.0001309859,0.000239306,0.000276608,0.00006940332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001382499,0.0001969966,0.001595859,0.0003729483,0.00007296666,0.0008383459,0.0009013166,0.19016,0.1387901,0.2081538,0.004447923,0.4530872],"study_design_scores_gemma":[0.00005530697,0.0002538195,0.0004102161,0.00005863303,0.0000366949,0.0005661165,0.0001058938,0.9098531,0.04257956,0.03538396,0.01064026,0.00005645678],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07292114,0.001060688,0.9221098,0.0002211536,0.00009112589,0.00006253256,0.00006617762,0.0004443712,0.003022984],"genre_scores_gemma":[0.8369839,0.0004967558,0.1588093,0.0001620336,0.00006396211,0.00008819166,0.0001051103,0.00005588129,0.003234856],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002908794,"threshold_uncertainty_score":0.0066486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0448337108526196,"score_gpt":0.3117894447893264,"score_spread":0.2669557339367068,"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."}}