{"id":"W2018517412","doi":"10.1016/j.procs.2013.06.045","title":"Energy Constrained Positioning in Mobile Wireless Ad hoc and Sensor Networks","year":2013,"lang":"en","type":"article","venue":"Procedia Computer Science","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Computer science; Wireless sensor network; Wireless ad hoc network; Mobile ad hoc network; Wireless; Computer network; Energy (signal processing); Telecommunications","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":[0.00007662137,0.00008913826,0.00009281065,0.0001462478,0.00007733477,0.000133124,0.0001718087,0.00005045001,0.000006076863],"category_scores_gemma":[0.000005368143,0.00008561296,0.000009140943,0.0005060686,0.0002525401,0.0003093467,0.00007698756,0.00007881275,0.000003843954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000303727,"about_ca_system_score_gemma":0.00001951895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005549594,"about_ca_topic_score_gemma":0.000004815769,"domain_scores_codex":[0.9993301,0.000004276527,0.0001239957,0.0001871273,0.0001005832,0.0002539244],"domain_scores_gemma":[0.9997528,0.00002709111,0.00001551321,0.00009408297,0.00006126698,0.00004925105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001733542,0.00001839984,0.002812959,0.00005029643,0.00000506236,0.000008741695,0.0008597822,0.1974138,0.005016825,0.002783677,0.0002584656,0.7907702],"study_design_scores_gemma":[0.0001187105,0.00002485399,0.001300424,0.00002670433,7.568527e-7,0.00001661338,0.00005129336,0.993951,0.004084107,0.000217558,0.00009037406,0.0001176671],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3953351,0.000480209,0.6032264,0.00003693597,0.000210181,0.000115847,4.758421e-7,0.0003844596,0.0002103182],"genre_scores_gemma":[0.987426,0.0001643409,0.01222769,0.00009052491,0.00003184428,0.00004526619,0.000001100371,0.000007051412,0.000006122299],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7965371,"threshold_uncertainty_score":0.3491195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00333409212024426,"score_gpt":0.1766977531114249,"score_spread":0.1733636609911806,"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."}}