{"id":"W2139355285","doi":"10.1155/2015/652041","title":"Real-Time Performance Evaluation for Flooding and Recursive Time Synchronization Protocols over Arduino and XBee","year":2015,"lang":"en","type":"article","venue":"International Journal of Distributed Sensor Networks","topic":"Network Time Synchronization Technologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Acadia University","funders":"","keywords":"Computer science; Flooding (psychology); Data synchronization; Arduino; Wireless sensor network; Time synchronization; Synchronization (alternating current); Real-time computing; Computer network; Wireless; Distributed computing; Embedded system; Channel (broadcasting); 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001040014,0.000173699,0.0002475842,0.0001861824,0.00009235106,0.0003115733,0.0005495557,0.0001440867,0.00001675003],"category_scores_gemma":[0.0004592158,0.0001633476,0.00004987757,0.0002745434,0.00008534781,0.0009570454,0.000172303,0.0001735361,0.000004880222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003479903,"about_ca_system_score_gemma":0.0001704021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001964378,"about_ca_topic_score_gemma":3.316825e-7,"domain_scores_codex":[0.9982013,0.0001060427,0.0005336641,0.0002590333,0.0006756224,0.0002242993],"domain_scores_gemma":[0.996543,0.0001975881,0.0006909149,0.0001844845,0.002261747,0.0001222666],"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":[0.0007413013,0.0002657356,0.01013815,0.00004978849,0.0007832258,0.00004221528,0.0007837674,0.5897371,0.001816632,0.004418023,0.04557906,0.345645],"study_design_scores_gemma":[0.001870618,0.0003295924,0.002076772,0.0002156111,0.00003485939,0.0001644012,0.00002703533,0.9921504,0.0003928702,0.001443814,0.001113721,0.000180368],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1275871,0.0002962658,0.867038,0.001225216,0.0004821962,0.003078687,0.00003407106,0.0001344337,0.0001241529],"genre_scores_gemma":[0.9414523,0.0003685763,0.05649302,0.00009368842,0.0009648218,0.0003088735,0.0001966203,0.0000348764,0.00008718329],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8138653,"threshold_uncertainty_score":0.6661121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01946943311826085,"score_gpt":0.2872556100919896,"score_spread":0.2677861769737288,"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."}}