{"id":"W2364125569","doi":"","title":"Application and Implement of Multi-protocol Self-adaptation Gateway","year":2015,"lang":"en","type":"article","venue":"Automation and Instrumentation","topic":"Industrial Automation and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ovarian Cancer Canada","funders":"","keywords":"H.248; Gateway (web page); Protocol (science); Computer science; Communications protocol; Adaptation (eye); Gateway address; Profibus; Interface (matter); Computer network; Default gateway; Embedded system; Interior gateway protocol; Distributed computing; Fieldbus; Internet Protocol Control Protocol; Internet protocol suite; Engineering; User Datagram Protocol; Operating system; The Internet; Control system; Routing protocol; Routing (electronic design automation)","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":[0.0005214805,0.0004381506,0.0002654628,0.000541991,0.0002553212,0.0006830583,0.001082889,0.0004929601,0.002612585],"category_scores_gemma":[0.0005208672,0.0002457689,0.0004139391,0.0002695693,0.0001636834,0.0009659308,0.0005572049,0.0004823182,0.001103992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002870204,"about_ca_system_score_gemma":0.0005257151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005591519,"about_ca_topic_score_gemma":0.0002576487,"domain_scores_codex":[0.9995289,0.00006917289,0.00004499638,0.00008809931,0.0001893369,0.00007943071],"domain_scores_gemma":[0.9997059,0.00002616483,0.00001800946,0.00007048016,0.000151126,0.00002840788],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006181713,0.0007071085,0.01437333,0.0009303967,0.0001792414,0.00170483,0.001124367,0.02237813,0.3651252,0.04443146,0.02997424,0.5184536],"study_design_scores_gemma":[0.0003091475,0.0008768573,0.008388015,0.0001566542,0.0002448421,0.002375976,0.0002227589,0.2873606,0.4868943,0.008317875,0.2047278,0.0001252013],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0917244,0.0006435333,0.8635134,0.000423084,0.0003218956,0.001122104,0.0001927583,0.01621688,0.02584199],"genre_scores_gemma":[0.6673951,0.0008074309,0.2970906,0.0005426579,0.0001074838,0.000675586,0.00107041,0.0006615461,0.03164919],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002612585,"threshold_uncertainty_score":0.008740008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02888181776926263,"score_gpt":0.2723886558770868,"score_spread":0.2435068381078242,"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."}}