{"id":"W3156309481","doi":"10.1139/cjce-2020-0284","title":"Exploring the current challenges and emerging approaches in whole building life cycle assessment","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Sustainable Building Design and Assessment","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus","funders":"","keywords":"Scope (computer science); Life-cycle assessment; Declaration; Risk analysis (engineering); Computer science; Greenhouse gas; Environmental impact assessment; Building information modeling; Management science; Engineering; Business; Operations management; Production (economics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0005186068,0.000176183,0.000247848,0.0003645303,0.00006990529,0.0001086275,0.0001653878,0.00002793648,0.000009140639],"category_scores_gemma":[0.0001051968,0.0001648366,0.00006132689,0.0002526144,0.00001713461,0.0003559607,0.00002296634,0.0005587221,3.55622e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003206912,"about_ca_system_score_gemma":0.0004559774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000310315,"about_ca_topic_score_gemma":0.004537072,"domain_scores_codex":[0.998896,0.00003216322,0.0003427984,0.0001288375,0.0001639456,0.0004362432],"domain_scores_gemma":[0.9992727,0.00009552069,0.0000441338,0.0001467994,0.00005368153,0.0003871725],"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":[6.518674e-7,0.000006971975,0.0002679036,0.0002470282,0.00005782758,0.0001982476,0.00138288,0.9085827,0.0003724383,0.002751013,0.00007000793,0.08606232],"study_design_scores_gemma":[0.00133878,0.00006784237,0.07808861,0.002399792,0.0001040236,0.000372262,0.01119121,0.7932854,0.0009440775,0.001413804,0.1096587,0.001135518],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7793794,0.1745845,0.0381368,0.002617148,0.003005518,0.000219046,0.000004228093,0.00008792761,0.001965534],"genre_scores_gemma":[0.9966933,0.002167588,0.0008314711,0.000009694525,0.0002373669,0.00001577757,5.760946e-7,0.00003976159,0.000004466167],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.217314,"threshold_uncertainty_score":0.6721842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06172036989980101,"score_gpt":0.2398003591614696,"score_spread":0.1780799892616686,"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."}}