{"id":"W2136661275","doi":"10.1109/pacrim.1993.407185","title":"A robust type II hybrid ARQ scheme with code combining for mobile communications","year":2002,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Hybrid automatic repeat request; Selective Repeat ARQ; Computer science; Header; Automatic repeat request; Code (set theory); Scheme (mathematics); Real-time computing; Convolutional code; Coding (social sciences); Channel (broadcasting); Algorithm; Computer network; Decoding methods; Telecommunications link; Mathematics; Programming language","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":[],"consensus_categories":[],"category_scores_codex":[0.0003449811,0.0001247341,0.0001623589,0.00009810863,0.000735166,0.0001864034,0.003893757,0.00003729828,0.0001301382],"category_scores_gemma":[0.00004590638,0.0001077453,0.00003996546,0.0006432869,0.0001659408,0.0004048551,0.001667777,0.000273979,0.00008441544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005137579,"about_ca_system_score_gemma":0.00005293664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001741213,"about_ca_topic_score_gemma":0.00005883229,"domain_scores_codex":[0.998764,0.0001040715,0.0002249287,0.0002878358,0.0002660006,0.0003531396],"domain_scores_gemma":[0.9954926,0.000482116,0.00008166541,0.003440105,0.0003847422,0.000118745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005522785,0.002034174,0.001185658,0.00005825971,0.0002131782,0.000006825432,0.002725899,0.02407585,0.0005329605,0.6386009,0.2258544,0.1046567],"study_design_scores_gemma":[0.000485931,0.0002686747,0.00002788718,0.00002480908,0.000002611308,0.00001386332,0.00004531354,0.9178226,0.0002037452,0.000217327,0.08073255,0.0001546898],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006233537,0.001444742,0.9276432,0.01008003,0.00008435146,0.001210115,0.000007386376,0.0006490183,0.05264761],"genre_scores_gemma":[0.6060523,0.0002563261,0.3895863,0.0002384786,0.00001473163,0.0002868916,0.00001415161,0.00001596905,0.003534813],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8937467,"threshold_uncertainty_score":0.7235634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1348990501567614,"score_gpt":0.3104925411284525,"score_spread":0.1755934909716911,"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."}}