{"id":"W1983175570","doi":"10.1109/wimob.2011.6085419","title":"Routing on Mini-Gabriel graphs in Wireless Sensor Networks","year":2011,"lang":"en","type":"article","venue":"","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Computer science; Wireless sensor network; Computer network; Routing protocol; Topology control; Network packet; Geographic routing; Distributed computing; Routing (electronic design automation); Energy consumption; Hierarchical routing; Network topology; Topology (electrical circuits); Dynamic Source Routing; Key distribution in wireless sensor networks; Wireless network; Wireless; Mathematics; Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007163266,0.0005706382,0.0003422385,0.00101133,0.0006471487,0.001059134,0.0008747494,0.0006954134,0.001147608],"category_scores_gemma":[0.002047886,0.0004284646,0.0004217612,0.000982146,0.0009936786,0.002415691,0.0009642044,0.0006299036,0.0002956289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008549531,"about_ca_system_score_gemma":0.0005815513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002229204,"about_ca_topic_score_gemma":0.003259263,"domain_scores_codex":[0.9995865,0.0002296142,0.0000187067,0.00005906492,0.00007458543,0.00003144624],"domain_scores_gemma":[0.9992205,0.0004013598,0.0001284422,0.0001031346,0.00009066588,0.00005596801],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001128286,0.00003061348,0.0007099669,0.0002566722,0.00004384782,0.0002197201,0.000304128,0.3840963,0.006928063,0.5413647,0.003594993,0.06233818],"study_design_scores_gemma":[0.00002017899,0.0000823504,0.0004648002,0.00005150472,0.00002580572,0.0002605749,0.0001633129,0.5809524,0.001996481,0.4006343,0.01531141,0.00003687964],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08223736,0.002560757,0.9062513,0.001387327,0.00009919136,0.0001101489,0.0001684882,0.0003690159,0.006816399],"genre_scores_gemma":[0.6257325,0.005139897,0.3607351,0.0005328135,0.0001332882,0.0003077986,0.0003933326,0.0001481498,0.006877138],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002229204,"threshold_uncertainty_score":0.006203175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02314131350391599,"score_gpt":0.2138826419347128,"score_spread":0.1907413284307968,"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."}}