{"id":"W3117656145","doi":"10.1016/j.buildenv.2020.107542","title":"Towards comparable environmental product declarations of construction materials: Insights from a probabilistic comparative LCA approach","year":2020,"lang":"en","type":"article","venue":"Building and Environment","topic":"Recycled Aggregate Concrete Performance","field":"Engineering","cited_by":75,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada; Université de Sherbrooke","funders":"American Concrete Institute Foundation","keywords":"Portland cement; Context (archaeology); Life-cycle assessment; Variance (accounting); Comparability; Credibility; Probabilistic logic; Product (mathematics); Econometrics; Environmental science; Engineering; Computer science; Statistics; Cement; Mathematics; Production (economics); Economics","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":[0.02769423,0.0009265671,0.001316862,0.005376665,0.001371513,0.005991585,0.003685424,0.002891776,0.01133698],"category_scores_gemma":[0.07547655,0.001015848,0.001399267,0.005186144,0.00324886,0.01140781,0.002855104,0.002951846,0.0007080765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00592014,"about_ca_system_score_gemma":0.004778078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01291123,"about_ca_topic_score_gemma":0.01387337,"domain_scores_codex":[0.9830465,0.009828503,0.0004985484,0.00177461,0.004319472,0.0005324139],"domain_scores_gemma":[0.9532163,0.03574633,0.002826772,0.003190418,0.004737398,0.000282845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001414906,0.0001114852,0.002561903,0.0001914609,0.0001190408,0.0001215987,0.0006382022,0.2092718,0.0006432758,0.7565466,0.001409686,0.02824349],"study_design_scores_gemma":[0.00003645923,0.00009909722,0.003738508,0.000173414,0.00007338214,0.00006122221,0.0008823951,0.2714775,0.001537161,0.7103359,0.01152308,0.00006196839],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1101287,0.001066988,0.7660758,0.002694061,0.0001308209,0.0002908032,0.001461806,0.0002756083,0.1178755],"genre_scores_gemma":[0.8334715,0.0005468114,0.1593567,0.0003650951,0.00005875612,0.0003667737,0.000756753,0.0002171006,0.004860474],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02769423,"threshold_uncertainty_score":0.1464629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02368802637616567,"score_gpt":0.195753593503228,"score_spread":0.1720655671270623,"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."}}