{"id":"W3047398544","doi":"10.46421/2706-6568.37.2020.paper031","title":"BAS Data Streaming for Smart Building Analytics","year":2020,"lang":"en","type":"article","venue":"CIB W78 conference series","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Streaming data; Analytics; Data analysis; Data science; Data mining","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001051178,0.0008333863,0.0009782941,0.001383543,0.0004765395,0.002171073,0.001205315,0.0005967049,0.009636378],"category_scores_gemma":[0.003822645,0.0003083889,0.0003616629,0.003095456,0.0002883924,0.00333725,0.001489259,0.001290785,0.005852402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006032694,"about_ca_system_score_gemma":0.0006847581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003449012,"about_ca_topic_score_gemma":0.003389099,"domain_scores_codex":[0.9992919,0.0001019219,0.000047806,0.0001275363,0.0003728545,0.00005797621],"domain_scores_gemma":[0.9984266,0.0004373004,0.00006318664,0.0005476184,0.0004260628,0.00009926151],"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":[0.001216282,0.0002816906,0.004995243,0.0004410637,0.0001155071,0.0001887892,0.0002044448,0.03184174,0.01698599,0.03297225,0.1629129,0.7478442],"study_design_scores_gemma":[0.0000919351,0.0002102682,0.004461512,0.0001378168,0.00004416655,0.0002070813,0.0002469366,0.7718565,0.01360293,0.0850693,0.1240143,0.00005738039],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04306609,0.006351807,0.8048393,0.003712474,0.002362211,0.0005746281,0.02651903,0.06514447,0.04743008],"genre_scores_gemma":[0.6117432,0.004864851,0.3104528,0.0009061913,0.00143465,0.000620542,0.04837427,0.002129122,0.01947449],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009636378,"threshold_uncertainty_score":0.03223687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08284031692910523,"score_gpt":0.2665628801548224,"score_spread":0.1837225632257172,"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."}}