{"id":"W2129824317","doi":"10.1109/mcom.2006.1580943","title":"Cross-layer activity management in an 802-15.4 sensor network","year":2006,"lang":"en","type":"article","venue":"IEEE Communications Magazine","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Computer network; Wireless sensor network; Reliability (semiconductor); Throughput; Network management; Probabilistic logic; Wireless; Telecommunications","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":[0.0005118394,0.000242536,0.0002410613,0.0002012303,0.0003601029,0.0003276201,0.003460225,0.0001129829,0.00001696296],"category_scores_gemma":[0.000006958699,0.0002645372,0.00007442892,0.001343948,0.0001929684,0.000663423,0.0009075457,0.0003928975,0.0001915315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001383041,"about_ca_system_score_gemma":0.00002411044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001144192,"about_ca_topic_score_gemma":0.001585357,"domain_scores_codex":[0.9977897,0.0003866841,0.0004238248,0.0005253837,0.0003014563,0.0005728833],"domain_scores_gemma":[0.994244,0.0002098609,0.0001725798,0.005153066,0.0001277901,0.0000926418],"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":[0.00001610665,0.0010015,0.00857075,0.00001084787,0.00002037959,0.00003331399,0.00007181321,0.9070618,0.001417157,0.05874536,0.003841149,0.01920984],"study_design_scores_gemma":[0.0007491809,0.00004710571,0.1604614,0.00004556309,0.00001141192,0.00001271258,0.000005252663,0.7991102,0.000370558,0.001199217,0.03751623,0.0004711945],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5388836,0.0007734688,0.3752571,0.003270425,0.001268749,0.0007768751,0.000007115867,0.0009807126,0.07878188],"genre_scores_gemma":[0.8575705,0.0001309709,0.1395438,0.0002046755,0.0001749144,0.00007124286,0.00002389009,0.00002648582,0.002253497],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3186869,"threshold_uncertainty_score":0.9999807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03239665956129894,"score_gpt":0.3011668111356275,"score_spread":0.2687701515743286,"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."}}