{"id":"W2466725266","doi":"10.1007/978-3-319-27568-0_7","title":"Cross-Layer Designs for Energy-Efficient Wireless Ad-hoc Networks","year":2016,"lang":"en","type":"book-chapter","venue":"Studies in systems, decision and control","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Computer network; Computer science; Wireless network; Physical layer; Wireless ad hoc network; Energy consumption; Wireless; Efficient energy use; PHY; Distributed computing; Engineering; Telecommunications; Electrical 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001313649,0.0004842272,0.001067224,0.0002356107,0.0005029413,0.0002876612,0.001027079,0.0002871917,0.00001194713],"category_scores_gemma":[0.0001229495,0.0003474564,0.0001777872,0.00009179363,0.0002510932,0.0001109222,0.0007229359,0.0002347568,0.0000134333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002025379,"about_ca_system_score_gemma":0.00006842719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.759141e-7,"about_ca_topic_score_gemma":0.00003862117,"domain_scores_codex":[0.9972113,0.0001586247,0.0009898616,0.0008229807,0.0003892736,0.0004279058],"domain_scores_gemma":[0.9947456,0.002916235,0.0004166686,0.001074271,0.0007236135,0.0001235758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001464075,0.00002170418,0.0000147314,0.00003574411,0.0001951953,0.00001437801,0.0003064432,0.001001727,0.00001072324,0.4513062,0.003597465,0.5433493],"study_design_scores_gemma":[0.004562203,0.0002367974,0.00003212934,0.003067532,0.00004317939,0.00002230421,0.00007874048,0.2643336,0.000002532384,0.005163082,0.7215879,0.0008699741],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00002455249,0.2198109,0.7658097,0.0001831724,0.001961098,0.0007646362,0.00001613375,0.00007846011,0.01135129],"genre_scores_gemma":[0.728309,0.1287698,0.001108303,0.0008961002,0.0006628615,0.0007654478,0.000005584856,0.0000939409,0.1393889],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7647014,"threshold_uncertainty_score":0.9998977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1075199087938668,"score_gpt":0.3522316141802754,"score_spread":0.2447117053864086,"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."}}