{"id":"W1556416485","doi":"10.1002/wcm.1219","title":"A survey on communication and data management issues in mobile sensor networks","year":2011,"lang":"en","type":"article","venue":"Wireless Communications and Mobile Computing","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":144,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Wireless sensor network; Computer science; Computer network; Key distribution in wireless sensor networks; Sensor web; Data management; Wireless; Wireless network; Telecommunications; Data mining","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001481834,0.0002357736,0.0003072079,0.0001977741,0.0004925405,0.00019325,0.003634782,0.0001041568,0.000002303395],"category_scores_gemma":[0.00001405032,0.0002454272,0.00002232776,0.0005957235,0.000260602,0.0002890592,0.00656206,0.0004086161,0.000003605204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003596937,"about_ca_system_score_gemma":0.00001278387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007866375,"about_ca_topic_score_gemma":0.0006131532,"domain_scores_codex":[0.9975541,0.0007632421,0.0004854799,0.0006648356,0.0001665404,0.0003657656],"domain_scores_gemma":[0.9930423,0.0007536108,0.0002022547,0.005819393,0.000081789,0.0001005984],"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":[0.00002520497,0.0009452119,0.02474726,0.00004541916,0.00007852571,0.00001287531,0.005496043,0.05446297,0.00001353365,0.03658132,0.0003670719,0.8772246],"study_design_scores_gemma":[0.0003600569,0.00007958567,0.04005143,0.0002134348,0.000007343915,0.000006474163,0.0003409809,0.9560184,0.000009076004,0.00004855104,0.002595001,0.0002695836],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.764212,0.03187429,0.1961983,0.0003152712,0.0002652213,0.001822083,0.00002547969,0.0005728885,0.004714517],"genre_scores_gemma":[0.9150453,0.0149763,0.0695904,0.0001101922,0.00001414978,0.00006306533,0.0001328125,0.00002217724,0.00004563153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9015555,"threshold_uncertainty_score":0.9999998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05886309222386037,"score_gpt":0.30316641360249,"score_spread":0.2443033213786296,"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."}}