{"id":"W3170235714","doi":"10.1016/j.comcom.2021.06.007","title":"Performance analysis of short-packet communications with incremental relaying","year":2021,"lang":"en","type":"article","venue":"Computer Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Computer science; Network packet; Block Error Rate; Transmission delay; Transmission (telecommunications); Overhead (engineering); Decoding methods; Bit error rate; Computer network; Error detection and correction; Latency (audio); Low latency (capital markets); Communications system; Reliability (semiconductor); Channel (broadcasting); Real-time computing; Algorithm; Telecommunications; Telecommunications link","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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.0004267264,0.0001875378,0.0003944316,0.0003677894,0.0007729885,0.0001576454,0.006109402,0.00005550597,0.00002538451],"category_scores_gemma":[0.00001830557,0.0001864157,0.0001571513,0.004062468,0.0003377915,0.0005547462,0.00580424,0.0003724234,0.00001174182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008408877,"about_ca_system_score_gemma":0.0001880397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008362817,"about_ca_topic_score_gemma":0.000341993,"domain_scores_codex":[0.998021,0.0005762975,0.0005541225,0.0003385678,0.0002757061,0.0002342921],"domain_scores_gemma":[0.9881933,0.0005127511,0.000186795,0.01028049,0.0007249768,0.0001016436],"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":[0.00001800867,0.002037893,0.129271,0.00005635278,0.004454793,0.000007887222,0.008705623,0.005918646,0.005784155,0.3338993,0.001634995,0.5082113],"study_design_scores_gemma":[0.0002339291,0.00005935718,0.04362516,0.00008660715,0.0002475827,0.00001646666,0.00008645451,0.9461399,0.0007023699,0.00003838323,0.008499822,0.0002639252],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07970857,0.004179821,0.891182,0.00652963,0.0001119556,0.0003308357,0.00001907632,0.0003307226,0.01760738],"genre_scores_gemma":[0.6936249,0.004043929,0.3017579,0.0003024973,0.000009624941,0.00003441728,0.0001686872,0.000009434742,0.00004864607],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9402213,"threshold_uncertainty_score":0.999268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08210720691182105,"score_gpt":0.3100196420611545,"score_spread":0.2279124351493335,"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."}}