{"id":"W1895715380","doi":"10.1155/2015/571796","title":"Location-Related Challenges and Strategies in Wireless Sensor Networks","year":2015,"lang":"en","type":"article","venue":"International Journal of Distributed Sensor Networks","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; China; Telecommunications; Information technology; Library science; Engineering management; Archaeology; Geography; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0009663971,0.0003484401,0.0005116824,0.0003807848,0.00005888492,0.0004016799,0.001341928,0.0003271477,0.000004177051],"category_scores_gemma":[0.0001483098,0.0003285009,0.0001218034,0.0006204489,0.0001637707,0.0009625252,0.0002713304,0.000838148,0.000004116188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002802882,"about_ca_system_score_gemma":0.0001957625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002795397,"about_ca_topic_score_gemma":0.00005254748,"domain_scores_codex":[0.9966375,0.0003325287,0.001154101,0.0004482648,0.000900767,0.0005268751],"domain_scores_gemma":[0.9963733,0.0004385067,0.0008235718,0.0003698653,0.001630377,0.0003643859],"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":[0.00009277758,0.0001559861,0.0009054252,0.000005374467,0.0001538957,0.0005052296,0.0004360878,0.9630061,0.00001798715,0.02306488,0.0003399511,0.01131629],"study_design_scores_gemma":[0.002051934,0.0001569523,0.008161285,0.0003557695,0.00002106553,0.0008824673,0.001065248,0.9853207,0.00002730909,0.0009043921,0.0006723254,0.0003805098],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1439122,0.0116318,0.8358736,0.003500644,0.004067565,0.0001735443,0.000007153432,0.000125935,0.0007075971],"genre_scores_gemma":[0.9922826,0.003014174,0.0038552,0.0001225948,0.0006329042,0.000003765351,0.00003299687,0.0000283249,0.00002746568],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8483704,"threshold_uncertainty_score":0.9999167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02063985861802171,"score_gpt":0.2531937639899539,"score_spread":0.2325539053719322,"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."}}