{"id":"W3081062238","doi":"10.14288/1.0385993","title":"Heating Energy Sub-metering : [Measuring building energy savings from metering heating energy]","year":2019,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Physics and Engineering Research Articles","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metering mode; Energy (signal processing); Environmental science; Energy consumption; Computer science; Automotive engineering; Engineering; Electrical engineering; Mechanical engineering; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001692481,0.0001326874,0.0004305119,0.0001170053,0.0002198925,0.0002374438,0.0004357365,0.00010799,0.0000523698],"category_scores_gemma":[0.00002287677,0.0004210822,0.0001817929,0.0003894586,0.00006034468,0.0006961552,0.0002971109,0.0001844022,0.000006165871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000219035,"about_ca_system_score_gemma":0.00002880715,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1666483,"about_ca_topic_score_gemma":0.0296435,"domain_scores_codex":[0.9981931,0.00003751515,0.0002383028,0.0004678291,0.0003962332,0.000667043],"domain_scores_gemma":[0.9991034,0.0001339378,0.00006960706,0.0003712092,0.00008850715,0.0002333033],"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":[0.000004743614,0.00002268495,0.002050702,0.0001084845,0.0001258637,0.00006177209,0.0001339053,0.02792135,0.4239608,0.00001950104,0.00006344973,0.5455267],"study_design_scores_gemma":[0.001668589,0.0001384099,0.2822931,0.001930515,0.00006810277,0.00004931194,0.0008330773,0.6952684,0.01204092,0.003538591,0.000777419,0.001393578],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9715549,0.00055382,0.02633601,0.000006691234,0.0002367075,0.00004844022,0.00004646964,0.0003951182,0.0008218058],"genre_scores_gemma":[0.9968805,0.0002476786,0.002608181,0.00001384835,0.0001043496,0.000001859046,0.00001774056,0.00007945728,0.00004640429],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6673471,"threshold_uncertainty_score":0.9998241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006617616378203203,"score_gpt":0.1490164255664353,"score_spread":0.1423988091882321,"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."}}