{"id":"W4417132502","doi":"10.1109/wf-iot64238.2025.11270541","title":"BACnet/MQ: A Message Queue-Integrated Communication Protocol for IoT-Enabled Building Automation Systems","year":2025,"lang":"","type":"article","venue":"","topic":"IoT-based Smart Home Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Building automation; Automation; Communications protocol; Message queue; MQTT; Protocol (science); Home automation; Smart objects","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":[0.001418384,0.0005410489,0.0004921526,0.001069816,0.0007267693,0.001519475,0.00176174,0.0006226497,0.00263661],"category_scores_gemma":[0.002227676,0.0002824538,0.0003274094,0.0007037427,0.0005300291,0.001996116,0.001514225,0.001138763,0.0008095395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001005259,"about_ca_system_score_gemma":0.001696506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003226291,"about_ca_topic_score_gemma":0.002369262,"domain_scores_codex":[0.9990006,0.0001999412,0.000120038,0.00009886921,0.0004828973,0.00009764571],"domain_scores_gemma":[0.9989624,0.0001257148,0.0001097681,0.0001641757,0.000548186,0.00008978479],"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":[0.001435706,0.000677205,0.004070207,0.001134352,0.000258128,0.0007998251,0.001113435,0.04761172,0.1987487,0.1911255,0.05300486,0.5000204],"study_design_scores_gemma":[0.0002632872,0.001252356,0.002070188,0.0001660068,0.0002102091,0.0008083546,0.0002205026,0.6793654,0.08096807,0.02721668,0.2072372,0.0002217861],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02488471,0.0009908739,0.9505385,0.0005699524,0.000551588,0.000972192,0.0003124963,0.01040356,0.01077607],"genre_scores_gemma":[0.6388535,0.001108131,0.3358493,0.0007981123,0.0003395166,0.001397702,0.001760483,0.0007824257,0.01911067],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003226291,"threshold_uncertainty_score":0.008820355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0151404126009852,"score_gpt":0.2984467241168575,"score_spread":0.2833063115158723,"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."}}