{"id":"W2136995402","doi":"10.1109/wcnc.2008.401","title":"Solar Powered WLAN Mesh Network Provisioning for Temporary Deployments","year":2008,"lang":"en","type":"article","venue":"","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Provisioning; Computer science; Computer network; Wireless mesh network; Node (physics); Resource (disambiguation); Mesh networking; Routing (electronic design automation); Distributed computing; Battery (electricity); Wireless; Wireless network; Power (physics); 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001531427,0.0002082131,0.0002159405,0.00004380181,0.0002114537,0.00002976157,0.0002015598,0.0001299383,0.00003682273],"category_scores_gemma":[0.00003319678,0.0002025432,0.00007676028,0.0001753007,0.00002924214,0.0001812639,0.00004651986,0.0001652299,0.000019485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004360792,"about_ca_system_score_gemma":0.00002487892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001732895,"about_ca_topic_score_gemma":0.00001428802,"domain_scores_codex":[0.9988099,0.0000189849,0.0002926626,0.0002309587,0.0001564095,0.0004910597],"domain_scores_gemma":[0.9993849,0.0001469915,0.00003787624,0.0002782529,0.00003316138,0.0001188437],"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":[0.00002744006,0.00004311526,0.04075782,0.00009202253,0.0001622626,0.00005273089,0.000145658,0.8139372,0.0008530829,0.00127282,0.1389522,0.003703627],"study_design_scores_gemma":[0.001010844,0.0001062622,0.004077584,0.0001957141,0.00002099061,0.00005145769,0.0000226425,0.9529836,0.001665007,0.0004560915,0.03869367,0.0007161294],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4729502,0.002299381,0.4652533,0.0001041739,0.00328259,0.001286038,0.00001169983,0.006708541,0.04810407],"genre_scores_gemma":[0.9578515,0.00009590961,0.0392463,0.0001303816,0.0005963257,0.00008560594,0.00004274048,0.0001259195,0.001825356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4849013,"threshold_uncertainty_score":0.8259472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01820863076196813,"score_gpt":0.2107467096637207,"score_spread":0.1925380789017526,"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."}}