{"id":"W4398765716","doi":"10.1016/j.buildenv.2024.111662","title":"Developing a systematic framework for integrating life cycle carbon emission assessment in urban building energy modeling","year":2024,"lang":"en","type":"article","venue":"Building and Environment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"Canada Excellence Research Chairs, Government of Canada","keywords":"Life-cycle assessment; Energy (signal processing); Carbon fibers; Environmental science; Architectural engineering; Systems engineering; Computer science; Engineering; Physics; Economics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009600785,0.0003199459,0.0003787892,0.00009253468,0.0002134394,0.0001391405,0.0001758147,0.0001585172,0.00004632256],"category_scores_gemma":[0.0001428692,0.000276864,0.0000920758,0.0001560183,0.00008661059,0.0002176697,0.0003367946,0.0002940253,0.000002066017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00182403,"about_ca_system_score_gemma":0.00002820031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004817784,"about_ca_topic_score_gemma":0.000009735781,"domain_scores_codex":[0.9977367,0.0001106566,0.0005635823,0.0006981,0.0003531697,0.0005378058],"domain_scores_gemma":[0.9991868,0.0002533291,0.00007632053,0.0002736728,0.000001508307,0.000208372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000139045,0.0006993231,0.1683343,0.02116855,0.0002976673,0.000137396,0.01340677,0.5865468,0.0588364,0.1069713,0.0001100519,0.04335246],"study_design_scores_gemma":[0.0002117208,0.00007470214,0.001512054,0.003031006,0.00004740666,0.000008210995,0.001506365,0.9650379,0.0006451301,0.02724084,0.0002506034,0.0004340509],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6539028,0.0009823233,0.3440584,0.0003329163,0.00009444891,0.0004040671,0.000001897506,0.00005423455,0.0001689842],"genre_scores_gemma":[0.9208317,0.0002136764,0.0784294,0.0001175312,0.00005733184,0.0002388171,0.000003542626,0.00004361293,0.00006431896],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3784912,"threshold_uncertainty_score":0.9999683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01490770993334776,"score_gpt":0.2820955765478744,"score_spread":0.2671878666145266,"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."}}