{"id":"W2400541948","doi":"","title":"Bus Management System Using RFID In WSN","year":2010,"lang":"en","type":"article","venue":"","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton","funders":"","keywords":"Radio-frequency identification; Wireless sensor network; Computer science; Process (computing); Embedded system; Wireless; Identification (biology); Computer network; Real-time computing; Telecommunications; Computer security; Operating system","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":[0.0003163217,0.0003000079,0.0003595649,0.0004531516,0.0003687566,0.0007170697,0.000526238,0.0003723595,0.002492938],"category_scores_gemma":[0.0004772164,0.0002115047,0.0001831047,0.0005048321,0.0001515995,0.001177106,0.0005194509,0.0003194228,0.001045599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002937361,"about_ca_system_score_gemma":0.0001844497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008597035,"about_ca_topic_score_gemma":0.001060998,"domain_scores_codex":[0.9997787,0.00004847993,0.00002207043,0.00005749891,0.00007038192,0.00002286076],"domain_scores_gemma":[0.9998298,0.00003358541,0.00002686241,0.00003163565,0.0000595785,0.00001857014],"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":[0.0004626274,0.0003671045,0.007545124,0.0009237212,0.0001937375,0.00110052,0.0008649648,0.08041409,0.1809246,0.03342842,0.01691634,0.6768587],"study_design_scores_gemma":[0.00009940085,0.0006426631,0.005232424,0.0001946547,0.0002721408,0.001100128,0.00043283,0.6572729,0.1335243,0.01080528,0.190316,0.0001072706],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08890303,0.00230201,0.8747574,0.0005370171,0.0003382141,0.000196881,0.0001689795,0.009918951,0.02287759],"genre_scores_gemma":[0.7854797,0.00205487,0.1845124,0.0002549941,0.0001635641,0.0002396255,0.0004655173,0.0002443309,0.02658503],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002492938,"threshold_uncertainty_score":0.008339703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008235503221456634,"score_gpt":0.2133401323586523,"score_spread":0.2051046291371957,"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."}}