{"id":"W2154132688","doi":"10.1109/lcn.2009.5355140","title":"Connectivity optimization with realistic lifetime constraints for node placement in environmental monitoring","year":2009,"lang":"en","type":"article","venue":"","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Software deployment; Wireless sensor network; Computer science; Relay; Key (lock); Task (project management); Node (physics); Distributed computing; Computer network; Systems engineering; Engineering; Computer security; Software 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":[],"consensus_categories":[],"category_scores_codex":[0.0002223494,0.0001299569,0.0001452468,0.00007001841,0.0000678568,0.00006841328,0.0002421323,0.00004843385,0.00001715432],"category_scores_gemma":[0.00001742968,0.0001140449,0.00002400578,0.0001348639,0.00004429287,0.000175164,0.00003466191,0.00007038005,0.000001933421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001328875,"about_ca_system_score_gemma":0.00001880004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001000075,"about_ca_topic_score_gemma":0.000005165309,"domain_scores_codex":[0.9989046,0.00004565391,0.0002005563,0.0003683259,0.0002126712,0.0002682166],"domain_scores_gemma":[0.9994071,0.0001537996,0.00007636347,0.0002857313,0.00001363511,0.00006334643],"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":[0.00002142023,0.0001183855,0.00188339,0.000001300703,0.000004016022,0.000006099118,0.00007726887,0.9901499,0.0002186873,0.0039973,0.00002281244,0.003499413],"study_design_scores_gemma":[0.0008190658,0.0001792982,0.006925161,0.00002834148,0.000003087164,0.000007451124,0.00003742964,0.9901004,0.001693806,0.0000272566,0.00001571036,0.0001630234],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06585923,0.00001002143,0.9321842,0.0002316655,0.00009442299,0.0002492074,0.000002248281,0.00007599913,0.001292972],"genre_scores_gemma":[0.7630691,0.000004419319,0.2367108,0.00009354005,0.00003398645,0.00001237456,0.000006764437,0.000005221146,0.00006379451],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6972099,"threshold_uncertainty_score":0.4650615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009576600239886523,"score_gpt":0.2202973844892784,"score_spread":0.2107207842493918,"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."}}