{"id":"W2091874493","doi":"10.1016/j.comcom.2009.11.020","title":"A global profile-based algorithm for energy minimization in object tracking sensor networks","year":2009,"lang":"en","type":"article","venue":"Computer Communications","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Wireless sensor network; Exploit; Video tracking; Minification; Energy consumption; Tracking (education); Real-time computing; Energy minimization; Object (grammar); Host (biology); Key distribution in wireless sensor networks; Energy (signal processing); Scheme (mathematics); Algorithm; Artificial intelligence; Wireless; Wireless network; Computer network; Telecommunications; Computer security","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":[0.001387008,0.001089834,0.00149654,0.00101991,0.0006859301,0.001121052,0.002264573,0.001194039,0.001756669],"category_scores_gemma":[0.003178482,0.0007835904,0.0008977058,0.001652852,0.0006401961,0.001971685,0.002294769,0.001472757,0.0007695701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008611956,"about_ca_system_score_gemma":0.001309719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002975876,"about_ca_topic_score_gemma":0.003829048,"domain_scores_codex":[0.9994357,0.0001364634,0.0000299188,0.00009382938,0.0002486061,0.00005545873],"domain_scores_gemma":[0.999182,0.0003323698,0.00006853275,0.000122508,0.0002489853,0.00004563576],"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":[0.0001863184,0.00007677238,0.0005535092,0.00008066666,0.00006150882,0.00004212994,0.00008267591,0.6609856,0.006092109,0.01183164,0.00272785,0.3172792],"study_design_scores_gemma":[0.000009765653,0.00002390135,0.00007607105,0.000004400646,0.000005690624,0.00001988996,0.00000617966,0.9950249,0.001041341,0.003227641,0.0005543653,0.000005862027],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0015671,0.00007008103,0.9979121,0.00002972385,0.00001374251,0.00001240936,0.00001209282,0.0001438736,0.0002388031],"genre_scores_gemma":[0.1370836,0.0002914593,0.8594278,0.00009341266,0.00005173449,0.0002486774,0.0001970056,0.0002266641,0.002379674],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002975876,"threshold_uncertainty_score":0.007335305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02179760013758616,"score_gpt":0.2666870309907692,"score_spread":0.2448894308531831,"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."}}