{"id":"W6884327675","doi":"10.1021/acs.est.0c01670.s001","title":"Optimizing\\nthe Use of a Constrained Resource\\nto Minimize Regional Greenhouse Gas\\nEmissions: The Case Study of Slag in Ontario’s Concrete","year":2020,"lang":"en","type":"article","venue":"Figshare","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Lead (geology); Upstream (networking); Portland cement; Life-cycle assessment; Slag (welding); Yield (engineering); Global-warming potential","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007288616,0.0008907562,0.0004792043,0.0005301893,0.001444957,0.001237462,0.0009830428,0.001514323,0.002341675],"category_scores_gemma":[0.001282346,0.0004906289,0.0007650192,0.0009080254,0.001484074,0.0007136332,0.0005835754,0.0005972314,0.0001427142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0173564,"about_ca_system_score_gemma":0.01266749,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8557558,"about_ca_topic_score_gemma":0.9194114,"domain_scores_codex":[0.999617,0.00009945541,0.00000853422,0.00005239363,0.0000596598,0.0001628604],"domain_scores_gemma":[0.9994689,0.00028622,0.00005660278,0.00002418341,0.00008370479,0.00008036411],"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":[0.0001982951,0.0001006491,0.006389938,0.0001244363,0.00005458615,0.0006873746,0.0001815495,0.9791284,0.002714002,0.003306632,0.0006401973,0.006473985],"study_design_scores_gemma":[0.0002367049,0.0004396465,0.01541657,0.00005123371,0.0001294831,0.0001315171,0.001872644,0.9682775,0.004446656,0.002905998,0.006016819,0.0000752562],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.969138,0.0003993573,0.01146967,0.0005374082,0.00001245356,0.0002727734,0.0005665389,0.00006401951,0.01753983],"genre_scores_gemma":[0.9894029,0.0001987108,0.005794676,0.0000243381,0.000002064617,0.00004390531,0.000138444,0.00001621471,0.004378644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1442442,"threshold_uncertainty_score":0.2901873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0828169128608116,"score_gpt":0.2580130783221046,"score_spread":0.175196165461293,"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."}}