{"id":"W3109570958","doi":"10.1088/1755-1315/588/2/022029","title":"Comparison of the greenhouse gas emissions of a high-rise residential building assessed with different national LCA approaches – IEA EBC Annex 72","year":2020,"lang":"en","type":"article","venue":"IOP Conference Series Earth and Environmental Science","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Greenhouse gas; Context (archaeology); Life-cycle assessment; Scope (computer science); Benchmark (surveying); Environmental science; Building information modeling; Environmental impact assessment; Civil engineering; Architectural engineering; Engineering; Environmental resource management; Computer science; Operations management; Geography","routes":{"ca_aff":true,"ca_fund":false,"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":[0.003710327,0.000727444,0.0006591665,0.002213322,0.0004463666,0.001261806,0.0008464028,0.0008105916,0.001026827],"category_scores_gemma":[0.001726596,0.0002543945,0.001084436,0.002990857,0.0004469608,0.0008353768,0.0009417802,0.0003179683,0.0003237753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002053345,"about_ca_system_score_gemma":0.001095328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02300159,"about_ca_topic_score_gemma":0.03457366,"domain_scores_codex":[0.997987,0.0005927728,0.0001529103,0.000209095,0.0009091754,0.0001491062],"domain_scores_gemma":[0.9985083,0.0003081728,0.0001273708,0.0002849005,0.0007264782,0.00004482142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.002314955,0.001393951,0.3152215,0.001532366,0.001099448,0.0006707811,0.0009035772,0.4922478,0.04652296,0.00382869,0.004083826,0.1301801],"study_design_scores_gemma":[0.0001582661,0.001609321,0.7003776,0.0002724055,0.0008696821,0.0003766832,0.002063836,0.1577367,0.1253758,0.001589834,0.009354473,0.0002154124],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9694629,0.0003467918,0.01044558,0.00004370352,0.00001162698,0.0001571588,0.005040392,0.0001525471,0.01433919],"genre_scores_gemma":[0.9876257,0.0002145382,0.006888927,0.00001306371,0.000002852564,0.0001789775,0.004457443,0.00002548903,0.0005929789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02300159,"threshold_uncertainty_score":0.04573542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03155462129472443,"score_gpt":0.2458630248183493,"score_spread":0.2143084035236249,"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."}}