{"id":"W2572656713","doi":"10.1109/icias.2016.7824042","title":"Implementation of real-time WirelessHART network for control application","year":2016,"lang":"en","type":"article","venue":"","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Yayasan UTP; Federation for the Humanities and Social Sciences","keywords":"Interoperability; Reliability (semiconductor); Computer science; Process (computing); Field (mathematics); Network management; Scale (ratio); Process control; Industrial control system; Systems engineering; Control (management); Reliability engineering; Embedded system; Engineering; Computer network; Operating system","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":[0.0005880447,0.0003100472,0.0002424103,0.0003518877,0.0002669223,0.0005399789,0.0007743525,0.0003606217,0.003894458],"category_scores_gemma":[0.0008114119,0.00009516558,0.0001637396,0.0001655648,0.0001524963,0.0005456827,0.0003009668,0.0004730907,0.001209855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002448857,"about_ca_system_score_gemma":0.0005852091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001154987,"about_ca_topic_score_gemma":0.000998988,"domain_scores_codex":[0.9994022,0.0001107289,0.00004334905,0.0001056889,0.0002402462,0.00009771524],"domain_scores_gemma":[0.9994868,0.00005360136,0.00003004141,0.000112791,0.0002751558,0.00004164907],"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":[0.0009766383,0.0009434342,0.009958252,0.0003462842,0.0001404501,0.000931777,0.0007238971,0.0281454,0.3118389,0.01666534,0.0300141,0.5993155],"study_design_scores_gemma":[0.0002638391,0.002021767,0.00805971,0.00005274669,0.0001094404,0.001129378,0.000185406,0.4408943,0.3856411,0.003042528,0.1584815,0.0001183131],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09428801,0.0002759503,0.8588666,0.0005315785,0.0005327503,0.0007426319,0.0002585573,0.01736266,0.02714132],"genre_scores_gemma":[0.8316904,0.0002005872,0.1438444,0.0002618314,0.0001117414,0.0005059654,0.0005697967,0.0002173637,0.02259801],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003894458,"threshold_uncertainty_score":0.0130282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006422605118516079,"score_gpt":0.2483031032129269,"score_spread":0.2418804980944108,"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."}}