{"id":"W915682956","doi":"","title":"Fountain Codes over Wireless Mobile Relay Channels","year":2012,"lang":"en","type":"article","venue":"Wireless Communications and Networking Conference","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Fountain code; Relay; Computer science; Fountain; Wireless; Computer network; Mobile radio; Relay channel; Telecommunications; Decoding methods; Block code; Concatenated error correction code; Geography; Physics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008612539,0.0002656788,0.0003210833,0.0001150912,0.001069654,0.0004312561,0.002600633,0.000119754,0.00003104576],"category_scores_gemma":[0.00000763109,0.0002627513,0.00006464516,0.0006135704,0.0003097702,0.0008102485,0.002383088,0.0004749951,0.00002411305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006070893,"about_ca_system_score_gemma":0.00007087053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000289814,"about_ca_topic_score_gemma":0.00008121204,"domain_scores_codex":[0.9980552,0.0004293606,0.0004063127,0.0003377692,0.0002109691,0.0005604255],"domain_scores_gemma":[0.9961584,0.0004767198,0.000207789,0.002735354,0.0001927126,0.0002289928],"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":[0.000004555142,0.0001705047,0.007731318,0.00001302271,0.0000389817,5.657844e-7,0.003312259,0.0000242383,0.0007389979,0.4444915,0.0004246593,0.5430495],"study_design_scores_gemma":[0.0005057775,0.00008204754,0.003119027,0.0003245839,0.00002313142,0.00002874295,0.000260318,0.774881,0.0002362229,0.0009714457,0.2188409,0.0007267699],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3015594,0.06390754,0.6072511,0.003875944,0.001981369,0.001409667,0.000009874492,0.001107894,0.01889723],"genre_scores_gemma":[0.954398,0.03828048,0.006235803,0.0004102761,0.0001897335,0.0002131126,0.00002211934,0.00002047864,0.0002300157],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7748568,"threshold_uncertainty_score":0.9999825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06518522081976676,"score_gpt":0.3083663224236979,"score_spread":0.2431811016039312,"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."}}