{"id":"W2012009673","doi":"10.1007/s11277-007-9420-y","title":"Bandwidth-efficient Bit-interleaved Coded Cooperative Communications","year":2007,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; University of Saskatchewan","funders":"","keywords":"Computer science; Spectral efficiency; Bandwidth (computing); Encoder; Concatenation (mathematics); Algorithm; Electronic engineering; Telecommunications; Arithmetic; Mathematics; Channel (broadcasting)","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":["metaepi_narrow","sts","open_science"],"consensus_categories":[],"category_scores_codex":[0.001687884,0.0003556981,0.0003845223,0.0003285003,0.002303106,0.0003604716,0.009465519,0.0001412402,0.00007076865],"category_scores_gemma":[0.0001394788,0.0003610878,0.0001971257,0.001623468,0.0008640221,0.0004279663,0.004381843,0.000947989,0.0002464113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002904671,"about_ca_system_score_gemma":0.0002447232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004272575,"about_ca_topic_score_gemma":0.001278822,"domain_scores_codex":[0.9969129,0.0007332318,0.0007730583,0.0005182113,0.000457518,0.0006050915],"domain_scores_gemma":[0.9898812,0.00142728,0.0002804288,0.007246705,0.0008610713,0.0003033737],"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":[0.00003248451,0.001158344,0.0005944826,0.00001361259,0.0001474867,0.000005396327,0.01765262,0.00009280947,0.009452708,0.8345614,0.002149394,0.1341393],"study_design_scores_gemma":[0.001294455,0.0001336056,0.004425046,0.000206428,0.00003635844,0.00005740221,0.002071089,0.8945217,0.001745466,0.0006135154,0.09394341,0.0009515801],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03451962,0.008089162,0.858326,0.03206876,0.0004074586,0.001132646,0.00004306997,0.001095214,0.06431808],"genre_scores_gemma":[0.9534531,0.002909913,0.04133685,0.001370932,0.00004881371,0.000114836,0.0001106934,0.00003255884,0.0006223388],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9189335,"threshold_uncertainty_score":0.9998841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06251393009816986,"score_gpt":0.3235055057780729,"score_spread":0.2609915756799031,"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."}}