{"id":"W1984060187","doi":"10.1109/waina.2014.119","title":"Optimizing Bit Transmission Power for Link Layer Energy Efficiency","year":2014,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Transmission (telecommunications); Automatic repeat request; Fading; Node (physics); Energy (signal processing); Power (physics); Efficient energy use; Frame (networking); Channel (broadcasting); Energy consumption; Power optimization; Electronic engineering; Computer network; Algorithm; Hybrid automatic repeat request; Telecommunications; Electrical engineering; Mathematics; Power consumption; Engineering","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":[0.0006068606,0.000103823,0.0001239294,0.0001164039,0.0002208426,0.0001681123,0.001787929,0.00007701421,0.00005747645],"category_scores_gemma":[0.00003514551,0.0000832824,0.00007875577,0.0003801669,0.00003420214,0.0002531018,0.0002801056,0.0001160971,0.00002160812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002251739,"about_ca_system_score_gemma":0.00004750551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001535808,"about_ca_topic_score_gemma":0.000003349012,"domain_scores_codex":[0.9987211,0.0001251531,0.0002024795,0.0003125916,0.0002838318,0.0003549079],"domain_scores_gemma":[0.9982296,0.0004708186,0.00004012427,0.0009815379,0.000142052,0.0001358672],"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":[0.00000869596,0.00007300815,0.000007289895,0.000008425323,0.000006853993,3.682079e-7,0.0003536704,0.01158035,0.003634466,0.4401294,0.002987703,0.5412098],"study_design_scores_gemma":[0.000241659,0.00007655037,0.00001871371,0.00001294742,7.359124e-7,0.00000115548,0.000003717221,0.7880456,0.005462442,0.001210709,0.2048205,0.0001052376],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0001643292,0.000200654,0.972483,0.005909843,0.00008771476,0.0001100521,1.7094e-7,0.0001941475,0.02085006],"genre_scores_gemma":[0.6835902,0.00005272817,0.3139743,0.0005051582,0.0000508804,0.00003801069,0.00000193344,0.00001185954,0.001774849],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7764653,"threshold_uncertainty_score":0.3396158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02701846199626977,"score_gpt":0.2867356837510969,"score_spread":0.2597172217548271,"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."}}