{"id":"W2971553533","doi":"10.1088/1755-1315/323/1/012059","title":"Scenario uncertainties assessment within whole building LCA","year":2019,"lang":"en","type":"article","venue":"IOP Conference Series Earth and Environmental Science","topic":"Sustainable Building Design and Assessment","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Life-cycle assessment; Context (archaeology); Uncertainty analysis; Embodied energy; Renewable energy; Variance (accounting); Operations research; Computer science; Environmental economics; Environmental science; Engineering; Production (economics); Simulation; Economics; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002911795,0.0002068779,0.0001762189,0.00009588849,0.0002731868,0.0003033029,0.0002596119,0.00004664868,0.0002676306],"category_scores_gemma":[0.000005871919,0.0001920441,0.00002557564,0.0001822379,0.0005520291,0.0008721509,0.000145312,0.0001764206,0.00003925519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001323708,"about_ca_system_score_gemma":0.0001143773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002794843,"about_ca_topic_score_gemma":0.000008995477,"domain_scores_codex":[0.9985501,0.00001593637,0.0001819802,0.0003652029,0.0004004957,0.0004863109],"domain_scores_gemma":[0.9995092,0.00001714221,0.0000373744,0.0002398616,0.00001066055,0.0001857224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001128262,0.00002464402,0.007844111,0.00006064687,0.00001366905,0.00001038046,0.000885944,0.01472954,0.9568956,0.008186658,0.000034533,0.011303],"study_design_scores_gemma":[0.001243709,0.0008181496,0.1470151,0.0002459911,0.00003564548,0.0001012141,0.02972367,0.1631158,0.6200976,0.002213304,0.03361909,0.001770753],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942817,0.0001277773,0.0007146597,0.0001028865,0.0003587971,0.000217862,0.000008669249,0.0001110366,0.004076628],"genre_scores_gemma":[0.9945666,0.0001229767,0.003693858,0.00005002856,0.00002256328,0.00001283794,0.000005761779,0.00001426479,0.001511158],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.336798,"threshold_uncertainty_score":0.7831333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008387011446050972,"score_gpt":0.2114388074726928,"score_spread":0.2030517960266418,"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."}}