{"id":"W3037045837","doi":"10.1016/j.cemconcomp.2020.103725","title":"Use of eco-admixture made from municipal solid waste incineration residues in concrete","year":2020,"lang":"en","type":"article","venue":"Cement and Concrete Composites","topic":"Recycling and utilization of industrial and municipal waste in materials production","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Carbonation; Portland cement; Fly ash; Belite; Cementitious; Materials science; Cement; Incineration; Waste management; Bottom ash; Leaching (pedology); Raw material; Compressive strength; Municipal solid waste; Lime; Environmental science; Carbonatation; Composite material; Metallurgy; Clinker (cement); Chemistry; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00007812172,0.0001348037,0.0002532423,0.00004645014,0.00004139635,0.00005852061,0.00007463206,0.0000913526,0.00004958245],"category_scores_gemma":[0.00004128463,0.000127902,0.00002673511,0.00009470939,0.00003634384,0.0001656903,0.00004237782,0.0001099073,0.000002585625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001148589,"about_ca_system_score_gemma":0.000006505317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001796034,"about_ca_topic_score_gemma":0.00001093148,"domain_scores_codex":[0.9991969,0.00005935896,0.0003634884,0.0001645084,0.00009283515,0.000122942],"domain_scores_gemma":[0.9996621,0.00006565983,0.00006299485,0.0001115034,0.00003468596,0.00006303527],"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":[0.0001482829,9.57078e-7,0.001303461,0.00005386826,0.00003946531,0.000001702901,0.001266954,0.01894316,0.9769753,0.0001206215,0.0005943984,0.0005518669],"study_design_scores_gemma":[0.000875866,0.0001788357,0.0003950261,0.0001773107,0.00004281382,6.921225e-7,0.0004653853,0.2030836,0.7899375,0.00005263158,0.004552674,0.0002375947],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998116,0.0008749743,0.00009039782,0.0002711248,0.000265147,0.0001568865,0.00003783256,0.00006358877,0.0001240118],"genre_scores_gemma":[0.9981157,0.0007808396,0.0004249777,0.0001079198,0.0003229176,0.000006456447,0.0001860977,0.00001423767,0.0000408294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1870377,"threshold_uncertainty_score":0.5215694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04927777752288865,"score_gpt":0.242661179170631,"score_spread":0.1933834016477423,"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."}}