{"id":"W1605102876","doi":"10.1109/wimob.2005.1512937","title":"Optimal wireless sensor networks (WSNs) deployment: minimum cost with lifetime constraint","year":2006,"lang":"en","type":"article","venue":"","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":87,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Software deployment; Wireless sensor network; Computer science; Provisioning; Constraint (computer-aided design); Distributed computing; Set (abstract data type); Computer network; Mathematical optimization; Engineering; Mathematics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002691753,0.0004735748,0.0004257952,0.0001490572,0.0002618566,0.0004102691,0.001075336,0.0002096394,0.0000699717],"category_scores_gemma":[0.000005602836,0.0003862494,0.0001192081,0.0007709119,0.0003340487,0.0003344071,0.0002918253,0.0003621416,0.00008323832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001018255,"about_ca_system_score_gemma":0.00009554114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001638009,"about_ca_topic_score_gemma":0.0001169107,"domain_scores_codex":[0.9966484,0.000130894,0.000522817,0.0009719104,0.0006305167,0.001095465],"domain_scores_gemma":[0.9980524,0.0002751373,0.00020814,0.001003733,0.0001814207,0.0002791498],"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":[0.00002975979,0.0001978283,0.0009529767,0.000004921978,0.0000352669,0.0002012558,0.00003708136,0.9541372,0.0002049486,0.03700818,0.002961431,0.004229114],"study_design_scores_gemma":[0.001059163,0.0001554204,0.0005808484,0.0000590184,0.00001833301,0.0002034395,0.00004105676,0.9919779,0.001890023,0.00001395435,0.003370738,0.00063016],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1186534,0.0001075431,0.8637509,0.0006484872,0.0003634256,0.0004009932,0.000002742339,0.0008971191,0.01517534],"genre_scores_gemma":[0.8794185,0.0000151941,0.1171857,0.0005939549,0.000371983,0.00003995018,0.00001917008,0.00005569287,0.002299872],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7607651,"threshold_uncertainty_score":0.9998589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006693087782643196,"score_gpt":0.2005552087545839,"score_spread":0.1938621209719407,"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."}}