{"id":"W4251961334","doi":"10.1002/wcm.639","title":"Optimal placement and routing strategies for resilient two‐tiered sensor networks","year":2008,"lang":"en","type":"article","venue":"Wireless Communications and Mobile Computing","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Relay; Computer science; Node (physics); Computer network; Routing (electronic design automation); Wireless sensor network; Link Access Procedure for Frame Relay; Relay channel; Topology (electrical circuits); Distributed computing; Mathematics; Power (physics)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001184258,0.0009768333,0.0006144096,0.000643804,0.0004271383,0.0008211233,0.0009474444,0.0007581074,0.001453833],"category_scores_gemma":[0.00212086,0.0005964919,0.0004245311,0.0006051502,0.0007012362,0.001237428,0.0009002935,0.0005325376,0.000229417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001203317,"about_ca_system_score_gemma":0.0006962997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002223773,"about_ca_topic_score_gemma":0.00229547,"domain_scores_codex":[0.9994304,0.0002459809,0.00002615529,0.0001028369,0.00009566871,0.00009891825],"domain_scores_gemma":[0.9993175,0.0003138489,0.0001546165,0.00006477874,0.00009724755,0.00005198302],"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":[0.00004308796,0.00002827478,0.0001574322,0.00003767734,0.00001185224,0.00005178278,0.00004901358,0.9747832,0.002426335,0.007565996,0.0005140688,0.01433128],"study_design_scores_gemma":[0.000007829698,0.00003132306,0.00004891578,0.00000367091,0.000003811984,0.00001333711,0.00002036249,0.9943426,0.0006033111,0.004663906,0.0002565045,0.000004473707],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05293258,0.0003249768,0.9439687,0.0002565253,0.0000324574,0.00008088804,0.00006405278,0.0003124839,0.002027415],"genre_scores_gemma":[0.8281265,0.0002240723,0.1695076,0.00009717439,0.00001724018,0.0001252719,0.00008154725,0.00005406197,0.001766405],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002223773,"threshold_uncertainty_score":0.00873071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02483336645556223,"score_gpt":0.2725219187781038,"score_spread":0.2476885523225416,"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."}}