{"id":"W2099769029","doi":"10.1186/1687-1499-2012-120","title":"The significant impact of a set of topologies on wireless sensor networks","year":2012,"lang":"en","type":"article","venue":"EURASIP Journal on Wireless Communications and Networking","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Computer science; Wireless sensor network; Network packet; Routing protocol; Topology control; Computer network; Network topology; Routing (electronic design automation); Cluster analysis; Topology (electrical circuits); Distributed computing; Connected dominating set; Geographic routing; Efficient energy use; Graph; Dynamic Source Routing; Key distribution in wireless sensor networks; Wireless network; Wireless; Theoretical computer science; Mathematics; 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":[0.001051999,0.000845318,0.0004682995,0.001148507,0.0008402177,0.001420603,0.00108883,0.0008014537,0.001116335],"category_scores_gemma":[0.007787142,0.0005573707,0.0006516218,0.001343059,0.00108817,0.003796374,0.001889788,0.001154451,0.0003358065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006635424,"about_ca_system_score_gemma":0.0004671212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006187167,"about_ca_topic_score_gemma":0.001096416,"domain_scores_codex":[0.9984919,0.0004940765,0.00008286127,0.0001823472,0.0006590296,0.00008980594],"domain_scores_gemma":[0.994806,0.003383574,0.0006283014,0.0006142745,0.0003736103,0.0001943297],"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":[0.0001547049,0.0001054462,0.006166357,0.001010006,0.0001957997,0.0008567277,0.000286305,0.6259484,0.03436615,0.1354673,0.002870368,0.1925724],"study_design_scores_gemma":[0.00006968663,0.001065904,0.01104291,0.0003207256,0.00031993,0.005030717,0.0008349332,0.594379,0.02441931,0.2989048,0.06344631,0.0001657489],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2335023,0.01447871,0.721621,0.004079041,0.001075017,0.0001811268,0.0004388658,0.0007485455,0.02387537],"genre_scores_gemma":[0.8525841,0.01482852,0.1285434,0.0004246709,0.0003555572,0.0002378757,0.0004014474,0.0002056177,0.002418849],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001420603,"threshold_uncertainty_score":0.005563557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04637990909072026,"score_gpt":0.3073919527726818,"score_spread":0.2610120436819615,"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."}}