{"id":"W2152377227","doi":"10.1109/vetec.1990.110346","title":"Type II ARQ schemes with multiple copy decoding for mobile communications","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Retransmission; Hybrid automatic repeat request; Automatic repeat request; Computer science; Selective Repeat ARQ; Forward error correction; Throughput; Error detection and correction; Decoding methods; Channel (broadcasting); Algorithm; Code rate; Computer network; Real-time computing; Wireless; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001353413,0.0009739687,0.0006742171,0.0007030519,0.0006882417,0.001496435,0.001429051,0.0009510643,0.003218728],"category_scores_gemma":[0.003612495,0.0003650707,0.0005661753,0.001015448,0.0009364978,0.001925788,0.0006631077,0.001523508,0.001799964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001073953,"about_ca_system_score_gemma":0.0005867288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008478437,"about_ca_topic_score_gemma":0.001050483,"domain_scores_codex":[0.9987858,0.0004857965,0.00004544125,0.00008925077,0.0004842652,0.0001094947],"domain_scores_gemma":[0.9974157,0.001031466,0.0002260993,0.0006479901,0.0006402887,0.00003841149],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005596381,0.0001079355,0.0008878036,0.0004396753,0.0001038049,0.0004701845,0.0004534546,0.1114837,0.04179507,0.5755715,0.01452043,0.2536069],"study_design_scores_gemma":[0.00007663206,0.0004670442,0.0004071503,0.00008006148,0.00006465313,0.0008980996,0.00007695841,0.7446088,0.02097688,0.1942987,0.03793402,0.0001110285],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008137249,0.003375692,0.97857,0.0003569922,0.0004632613,0.000119874,0.0000578667,0.0005814889,0.008337575],"genre_scores_gemma":[0.3869115,0.008207357,0.5785008,0.0006636159,0.001506804,0.0004166222,0.0002199133,0.0002923182,0.02328093],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003218728,"threshold_uncertainty_score":0.01076776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03851136555486909,"score_gpt":0.2767396003181246,"score_spread":0.2382282347632555,"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."}}