{"id":"W2071251297","doi":"10.1109/idaacs.2011.6072751","title":"Analysis and simulation of hybrid network for industrial automation","year":2011,"lang":"en","type":"article","venue":"","topic":"Network Time Synchronization Technologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Federation for the Humanities and Social Sciences","keywords":"Automation; Computer science; Computer network; Control (management); Wireless network; Wireless; Protocol (science); Industrial control system; Quality of service; Telecommunications; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0004257084,0.0003820629,0.0004002114,0.0004154641,0.0003833124,0.0005444291,0.0006022964,0.0007004447,0.003417435],"category_scores_gemma":[0.001113609,0.0002351448,0.0005373227,0.0003045195,0.0003725148,0.0005740044,0.000423895,0.0004772366,0.0001895932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008145603,"about_ca_system_score_gemma":0.0005208756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0133831,"about_ca_topic_score_gemma":0.007447171,"domain_scores_codex":[0.9998372,0.00005796217,0.000006476049,0.00002357736,0.00004704061,0.0000277155],"domain_scores_gemma":[0.9995284,0.0003210739,0.00003879665,0.00002279913,0.00007031372,0.00001860041],"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":[0.00001192495,0.000007915709,0.0002730371,0.00001098979,0.000005846367,0.00001758247,0.00001304779,0.9957054,0.0002705531,0.002399528,0.000092213,0.001192021],"study_design_scores_gemma":[0.000001275649,0.000003099006,0.00004175436,8.541201e-7,0.000001011024,0.000001361173,0.00000199287,0.9994967,0.00005113792,0.0003126987,0.00008746778,6.264204e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3056186,0.001147178,0.6553203,0.0006493566,0.0001675089,0.0001108914,0.0003357613,0.0007374581,0.0359129],"genre_scores_gemma":[0.9753063,0.000302683,0.0195359,0.00003177006,0.00001544601,0.0001096529,0.0001249405,0.00003411721,0.004539175],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0133831,"threshold_uncertainty_score":0.02661037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03751852100215714,"score_gpt":0.2462010213770096,"score_spread":0.2086825003748525,"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."}}