{"id":"W2565021864","doi":"10.1109/ssrr.2016.7784269","title":"An adaptive static-sensor network deployment strategy for detecting mobile targets","year":2016,"lang":"en","type":"article","venue":"","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Software deployment; Computer science; Wireless sensor network; Computer network; Real-time computing; Operating system","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":[0.0004362487,0.0006587367,0.0003888091,0.0005266349,0.0003024675,0.0002392747,0.0007757668,0.0003813503,0.0003819366],"category_scores_gemma":[0.001475217,0.000198667,0.0001950962,0.0003985186,0.0004172173,0.0007848477,0.0005600268,0.000260645,0.0001612503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003612798,"about_ca_system_score_gemma":0.0004822157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001267866,"about_ca_topic_score_gemma":0.002090134,"domain_scores_codex":[0.9996887,0.00008842672,0.00001325299,0.00008129937,0.00008743395,0.00004084985],"domain_scores_gemma":[0.9995949,0.0001565087,0.00006515581,0.00004520176,0.0001104665,0.00002773715],"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":[0.00023832,0.000196962,0.004035495,0.0001751749,0.00007265132,0.000394293,0.0002139812,0.6236438,0.06450211,0.02111929,0.002640719,0.2827672],"study_design_scores_gemma":[0.00001282726,0.000218962,0.001012132,0.000007029733,0.00002162633,0.0002706381,0.00006624521,0.9854258,0.007714385,0.003902174,0.001332646,0.00001537277],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04354952,0.0002727064,0.9531028,0.0001375386,0.00002697304,0.00004854286,0.0000219815,0.0002004347,0.002639551],"genre_scores_gemma":[0.8473926,0.0002364221,0.1508958,0.0000808253,0.0000242676,0.00005398408,0.00005156456,0.00002229529,0.001242249],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001267866,"threshold_uncertainty_score":0.002621293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02420497915540023,"score_gpt":0.2643537728574581,"score_spread":0.2401487937020579,"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."}}