{"id":"W2900255759","doi":"10.1109/lwc.2018.2879840","title":"Coupling Information Transmission With Window Decoding","year":2018,"lang":"en","type":"article","venue":"IEEE Wireless Communications Letters","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Decoding methods; Interleaving; Computer science; Network packet; Transmission (telecommunications); Channel (broadcasting); Sliding window protocol; Single antenna interference cancellation; Interference (communication); Algorithm; Coupling (piping); Electronic engineering; Window (computing); Telecommunications; Computer network; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0003750979,0.0001731244,0.0001591196,0.0002041634,0.001132881,0.0003430138,0.003072897,0.00005044739,0.00001303171],"category_scores_gemma":[0.00001092156,0.0001566078,0.00004720476,0.000823347,0.0003049472,0.001814636,0.0003342486,0.0003017839,0.0001105823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008733355,"about_ca_system_score_gemma":0.00006966353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001153875,"about_ca_topic_score_gemma":0.00004275702,"domain_scores_codex":[0.9988137,0.0001249973,0.0003509875,0.0001952133,0.0002460628,0.0002689709],"domain_scores_gemma":[0.9966073,0.0001954393,0.0001725452,0.002637063,0.0002865496,0.0001010714],"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":[0.00005559225,0.0002156493,0.001867801,0.00003711322,0.0001285133,0.000002792634,0.01441464,0.003943423,0.1233904,0.08488924,0.005424951,0.7656299],"study_design_scores_gemma":[0.0007424075,0.00008160101,0.001325838,0.000223973,0.00001365441,0.00002188798,0.0001002159,0.9263974,0.009457282,0.00004580175,0.06114661,0.0004433276],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07660017,0.0001344564,0.905993,0.01488759,0.0001225475,0.0002331235,0.000001115848,0.0003134503,0.001714514],"genre_scores_gemma":[0.9059574,0.0006203004,0.09072892,0.002551333,0.00004807674,0.00005021327,0.00001692299,0.00001140665,0.0000154249],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.922454,"threshold_uncertainty_score":0.871332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02951251167699834,"score_gpt":0.2676081651393079,"score_spread":0.2380956534623096,"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."}}