{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005391591,0.000593322,0.0007900609,0.0005030893,0.0003800673,0.0006247998,0.0006984813,0.0009364769,0.001342963],"category_scores_gemma":[0.002205566,0.0002923777,0.0002453381,0.00174143,0.000573325,0.001134318,0.0007884529,0.000536528,0.0004714716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003436812,"about_ca_system_score_gemma":0.0003343006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001554523,"about_ca_topic_score_gemma":0.001350455,"domain_scores_codex":[0.9993586,0.0002266365,0.00003147375,0.00008899691,0.0002503599,0.00004394563],"domain_scores_gemma":[0.9992299,0.0004690228,0.00008993586,0.00009554659,0.00009760156,0.0000180656],"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":[0.0001314605,0.00006952688,0.001029835,0.0004327722,0.00006311324,0.0002516676,0.00009575484,0.7706398,0.008367273,0.03418949,0.002923461,0.1818059],"study_design_scores_gemma":[0.00002420623,0.0001817709,0.0008881803,0.00005504011,0.00002322779,0.0002476499,0.00006433957,0.9518019,0.00331362,0.03320532,0.01016224,0.00003255429],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03141841,0.01343501,0.9465091,0.0004552044,0.0003851636,0.0001153775,0.0001075881,0.0004005188,0.00717361],"genre_scores_gemma":[0.7733511,0.01740539,0.1975207,0.0002880401,0.000480428,0.0002960584,0.0003193041,0.0001038322,0.01023511],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001554523,"threshold_uncertainty_score":0.00449264,"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."}}