{"id":"W2035478131","doi":"10.1016/j.procs.2013.06.017","title":"An Optimal Cross-Layer Scheduling for Periodic WSN Applications","year":2013,"lang":"en","type":"article","venue":"Procedia Computer Science","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Acadia University","funders":"","keywords":"Computer science; Scheduling (production processes); Time division multiple access; Integer programming; Schedule; Distributed computing; Mathematical optimization; Computer network; Algorithm; Mathematics","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","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0006315021,0.0002598267,0.0002096245,0.000265511,0.001036687,0.002683323,0.004072038,0.00008810415,0.00001132052],"category_scores_gemma":[0.00003379911,0.0002455931,0.00008043183,0.001557262,0.000600958,0.003171833,0.0005872712,0.0001842718,0.0001244156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008582602,"about_ca_system_score_gemma":0.0003581269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009505618,"about_ca_topic_score_gemma":0.000001208204,"domain_scores_codex":[0.9966987,0.00002273021,0.000370043,0.001342173,0.000629926,0.0009364307],"domain_scores_gemma":[0.9972076,0.0001315616,0.0001574179,0.001162993,0.0008994201,0.0004409607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004245668,0.0002363848,0.001532317,0.00003820835,0.000006974047,0.000001512037,0.001340021,0.8112352,0.007732783,0.03799378,0.0001461576,0.1397324],"study_design_scores_gemma":[0.0002309621,0.0001251195,0.002192795,0.00001386757,0.000002422686,0.00002129251,0.0000101693,0.9913507,0.004281531,0.0004778802,0.0009577023,0.0003355928],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1714968,0.00006920035,0.8262649,0.0002924051,0.0005594953,0.0007375238,0.000001167739,0.0004660132,0.0001124778],"genre_scores_gemma":[0.5028728,0.000002512207,0.496043,0.0003418539,0.0003272961,0.0003796569,0.000002108921,0.00001155752,0.00001925227],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.331376,"threshold_uncertainty_score":0.9999996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01478494449932674,"score_gpt":0.280628044473647,"score_spread":0.2658430999743202,"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."}}