{"id":"W2009218399","doi":"10.3390/s90301518","title":"A Novel Energy-Efficient MAC Aware Data Aggregation Routing in Wireless Sensor Networks #","year":2009,"lang":"en","type":"article","venue":"Sensors","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Intelligent Mechatronic Systems (Canada)","funders":"National Science Council","keywords":"Data aggregator; Computer science; Retransmission; Wireless sensor network; Energy consumption; Computer network; Data transmission; Node (physics); Distributed computing; Network packet; 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":[0.0006805845,0.000438214,0.0004414336,0.0003416567,0.0002377265,0.0002752932,0.002148937,0.0002725145,0.000005089729],"category_scores_gemma":[0.00007695478,0.0004492535,0.00009495304,0.001748702,0.0000754786,0.0003281785,0.0005881714,0.0004854823,0.00001480458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001874321,"about_ca_system_score_gemma":0.00007653751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002601652,"about_ca_topic_score_gemma":0.0001876762,"domain_scores_codex":[0.9959127,0.0002091385,0.0007135833,0.001415622,0.0006795517,0.001069385],"domain_scores_gemma":[0.9967074,0.0002711055,0.0003175155,0.002355627,0.0001330812,0.0002153075],"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":[0.00001315811,0.0002073353,0.0002293176,0.000003355044,0.000009599339,0.00008984304,0.0001926071,0.9400446,0.0004211251,0.0187065,0.000138852,0.03994372],"study_design_scores_gemma":[0.0006492268,0.00004783155,0.001710917,0.0001655134,0.000008527923,0.00006682382,0.00007250623,0.9958177,0.000592758,0.00003471171,0.0003154651,0.0005179833],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3029579,0.00009930457,0.6937526,0.0008811492,0.0007387889,0.0001865582,0.000009628986,0.0004652885,0.0009087945],"genre_scores_gemma":[0.9839466,0.00005162659,0.01461963,0.0006637808,0.0003466707,0.000004659234,0.0000944995,0.00003687466,0.0002356539],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6809887,"threshold_uncertainty_score":0.9997959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02147890775501368,"score_gpt":0.2441834955467236,"score_spread":0.22270458779171,"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."}}