{"id":"W2559466753","doi":"10.1109/cec.2016.7744358","title":"Sensor control for temporal coverage optimization","year":2016,"lang":"en","type":"article","venue":"","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Computer science; Probabilistic logic; Trajectory; Limit (mathematics); Wireless sensor network; Real-time computing; Optimization algorithm; Control (management); Simple (philosophy); Optimization problem; Algorithm; Mathematical optimization; Artificial intelligence; 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":[],"consensus_categories":[],"category_scores_codex":[0.0001485986,0.0001027112,0.0001196549,0.00005056432,0.00007456032,0.00007098749,0.0003451764,0.00005950002,0.00002742293],"category_scores_gemma":[0.00004441173,0.00006435047,0.00006169338,0.0001229766,0.0000239321,0.0002831271,0.00004242356,0.00002334813,0.00002327866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003242376,"about_ca_system_score_gemma":0.00002208838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005134471,"about_ca_topic_score_gemma":0.000003915263,"domain_scores_codex":[0.9990924,0.00003763279,0.0001672162,0.0002993567,0.000144078,0.0002593035],"domain_scores_gemma":[0.9990935,0.000309682,0.00006727764,0.0003613792,0.0001058023,0.00006240263],"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":[0.0000211857,0.00004309783,0.0003683361,0.000003089361,0.00001418769,0.000003438412,0.00001768042,0.8872061,0.00148045,0.09354918,0.003101324,0.01419197],"study_design_scores_gemma":[0.001449578,0.000065047,0.00004083645,0.00001103299,0.000002866236,0.000003889453,0.000001228413,0.9905238,0.002226199,0.0002330191,0.005295373,0.0001471499],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001064845,0.00001188839,0.9935614,0.002496975,0.000360967,0.0002132303,0.000004273229,0.0002937571,0.001992591],"genre_scores_gemma":[0.7494856,0.000006608124,0.2470128,0.0006093597,0.00009607521,0.00002024327,0.000002037575,0.0000104528,0.002756819],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7484208,"threshold_uncertainty_score":0.2624136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008735160451831986,"score_gpt":0.2120526935772521,"score_spread":0.2033175331254202,"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."}}