{"id":"W2790740338","doi":"10.1109/infocom.2018.8485806","title":"Lightweight Retransmission for Random Access in Satellite Networks","year":2018,"lang":"en","type":"article","venue":"","topic":"IoT Networks and Protocols","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Francis Xavier University","funders":"National Natural Science Foundation of China","keywords":"Retransmission; Computer science; Random access; Decoding methods; Network packet; Synchronization (alternating current); Focus (optics); Computer network; Satellite; Throughput; Distributed computing; Algorithm; Wireless; Channel (broadcasting); Telecommunications; Engineering","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":[0.003259452,0.0006820477,0.0007907124,0.0009004287,0.0008330175,0.001002959,0.001647842,0.0007967239,0.001359337],"category_scores_gemma":[0.01102296,0.000334234,0.0006685427,0.000752674,0.001235498,0.002276955,0.001837193,0.001066807,0.0003152965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009286485,"about_ca_system_score_gemma":0.00104091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005399259,"about_ca_topic_score_gemma":0.0006924473,"domain_scores_codex":[0.9970096,0.001293384,0.0002255357,0.0003693564,0.0007724977,0.0003295254],"domain_scores_gemma":[0.9896897,0.005869835,0.001411912,0.002011054,0.0008159187,0.0002015965],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001208651,0.000209498,0.003024207,0.0007705894,0.0002123297,0.001004358,0.001173283,0.4327691,0.07573052,0.2745588,0.004566268,0.2047724],"study_design_scores_gemma":[0.0000889863,0.0003333896,0.000329296,0.00003394932,0.00006233592,0.0005759984,0.00009979632,0.9404074,0.01461409,0.04037738,0.003025031,0.00005229883],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04670276,0.0004983491,0.9505493,0.0001862868,0.00005089301,0.0001082777,0.00003365266,0.00063824,0.001232211],"genre_scores_gemma":[0.883838,0.0004175267,0.1137323,0.0001408621,0.00007536895,0.0002546513,0.00009219674,0.0000765635,0.00137255],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003259452,"threshold_uncertainty_score":0.01723784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01678838666475655,"score_gpt":0.2796556378332526,"score_spread":0.2628672511684961,"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."}}