{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000735361,0.0001200286,0.000138318,0.00004061015,0.00005708188,0.00009605944,0.0003718223,0.00004501802,0.00003008276],"category_scores_gemma":[0.00007107312,0.0001299371,0.00002526573,0.0001068662,0.00003440231,0.0004240188,0.0001313658,0.00008427486,0.000006105624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001378581,"about_ca_system_score_gemma":0.0000177196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003408259,"about_ca_topic_score_gemma":0.00001770397,"domain_scores_codex":[0.9993697,0.000005820273,0.0001542625,0.0002156668,0.00008191589,0.0001725931],"domain_scores_gemma":[0.9995242,0.00002156714,0.00002090078,0.0003222163,0.00003631283,0.00007477344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007188084,0.00006040613,0.001170458,0.001475286,0.0004842052,0.00002304771,0.00186177,0.004873537,0.02026409,0.2040585,0.4269498,0.338707],"study_design_scores_gemma":[0.0002387139,0.00009369107,0.0004243597,0.00005383345,0.00006065203,0.000001371375,0.0006272821,0.6000029,0.01009085,0.0003945141,0.3877285,0.0002832262],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003652677,0.0001001489,0.9836304,0.001032152,0.0002813781,0.0002584229,0.0001522229,0.004752724,0.006139891],"genre_scores_gemma":[0.9840162,0.0001492077,0.01534969,0.0001557703,0.00009441325,0.00002019963,0.0001199286,0.0000211371,0.00007345557],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9803635,"threshold_uncertainty_score":0.5298681,"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."}}