{"id":"W2376538932","doi":"","title":"The Review of Time Synchronization Algorithm for Wireless Sensor Networks","year":2011,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Network Time Synchronization Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Data synchronization; Synchronization (alternating current); Clock synchronization; Wireless sensor network; Time synchronization; Self-clocking signal; Wireless network; Key distribution in wireless sensor networks; Real-time computing; Wireless; Computer network; Distributed computing; Channel (broadcasting); Telecommunications; Clock skew","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005974339,0.0007621748,0.0008144854,0.0008860336,0.0005023745,0.001025619,0.001170188,0.001011034,0.002512674],"category_scores_gemma":[0.001908255,0.0002899153,0.0005077682,0.003104482,0.0004757398,0.002187751,0.000605004,0.001080817,0.002215234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006510572,"about_ca_system_score_gemma":0.001166137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00184794,"about_ca_topic_score_gemma":0.000785401,"domain_scores_codex":[0.9992937,0.0001272696,0.0001048941,0.000168637,0.0002714471,0.00003391964],"domain_scores_gemma":[0.9994311,0.0001663041,0.00004607642,0.000045712,0.0002895034,0.00002125554],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008576116,0.00003325332,0.0005096567,0.00256433,0.00007570461,0.0002331868,0.0001740992,0.02481624,0.004825865,0.09493317,0.03892807,0.8328208],"study_design_scores_gemma":[0.00004207387,0.0001499671,0.000651573,0.0007489189,0.00010593,0.001028402,0.0001135533,0.08612452,0.004437488,0.05916094,0.847355,0.00008164225],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.002517687,0.2492684,0.7193643,0.001861037,0.00624104,0.0001098204,0.0002339461,0.000637532,0.0197663],"genre_scores_gemma":[0.07461752,0.4469141,0.4436495,0.001599364,0.007015888,0.0004447626,0.001100387,0.0002830083,0.02437552],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.002512674,"threshold_uncertainty_score":0.008405685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008627834585542102,"score_gpt":0.2179238599785397,"score_spread":0.2092960253929976,"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."}}