{"id":"W3203272729","doi":"10.1109/jsen.2021.3116603","title":"High Throughput Wireless Links for Time-Sensitive WSNs With Reliable Data Requirements","year":2021,"lang":"en","type":"article","venue":"IEEE Sensors Journal","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Khalifa University of Science, Technology and Research","keywords":"Computer science; Network packet; Throughput; Computer network; Hybrid automatic repeat request; Automatic repeat request; Multiplexing; Overhead (engineering); Wireless sensor network; Transmission (telecommunications); Wireless; Telecommunications link; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005265609,0.0004681402,0.0003573556,0.0004516872,0.0004890139,0.0006251354,0.0005539374,0.0004182679,0.001897026],"category_scores_gemma":[0.0009969966,0.0001738804,0.0001567424,0.0007160495,0.0002998827,0.001414259,0.0007321645,0.0006778163,0.00053859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000296531,"about_ca_system_score_gemma":0.0003076492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001492361,"about_ca_topic_score_gemma":0.0004660382,"domain_scores_codex":[0.9996735,0.00009826555,0.00001497123,0.00004592262,0.0001371507,0.00003021371],"domain_scores_gemma":[0.9994214,0.000277386,0.0001036963,0.00007861113,0.00009701273,0.00002200954],"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":[0.0004311537,0.0002620387,0.002207746,0.001084221,0.0001130082,0.0009732168,0.0003200729,0.1133372,0.5220786,0.072625,0.006714748,0.2798529],"study_design_scores_gemma":[0.000048222,0.000822527,0.002124136,0.0001005757,0.0000937252,0.001059174,0.000304367,0.7124169,0.1954421,0.03680114,0.05068156,0.0001055169],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09638324,0.004746699,0.8882502,0.0005715783,0.0003078357,0.0001062624,0.0001642567,0.0008932411,0.008576697],"genre_scores_gemma":[0.8614433,0.002443082,0.1323848,0.000211066,0.0001816435,0.0001783039,0.0001902811,0.00007111065,0.002896387],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001897026,"threshold_uncertainty_score":0.006346226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03283079516050662,"score_gpt":0.2680841080416396,"score_spread":0.235253312881133,"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."}}