{"id":"W2059350697","doi":"10.1617/s11527-010-9692-7","title":"Use of spent foundry sand and fly ash for the development of green self-consolidating concrete","year":2010,"lang":"en","type":"article","venue":"Materials and Structures","topic":"Materials Engineering and Processing","field":"Engineering","cited_by":96,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Portland cement; Fly ash; Foundry; Shrinkage; Durability; Compressive strength; Slump; Cement; Geotechnical engineering; Superplasticizer; Void ratio; Environmental science; Materials science; Waste management; Composite material; Pulp and paper industry; Metallurgy; Geology; 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":[0.0001678571,0.0001051092,0.0001977871,0.00002401584,0.00006464469,0.00008345746,0.00005155527,0.00005464072,0.00003201597],"category_scores_gemma":[0.00001975159,0.00007261561,0.00001049287,0.00001648817,0.00003412363,0.00005255848,0.00002792919,0.00003277191,6.638616e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000235968,"about_ca_system_score_gemma":0.00001043355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002516899,"about_ca_topic_score_gemma":0.00001058097,"domain_scores_codex":[0.9994965,0.000007407551,0.0002554852,0.00008056369,0.0000529483,0.000107064],"domain_scores_gemma":[0.9997132,0.0000965916,0.00005620741,0.00008490286,0.00002456987,0.0000245116],"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":[0.00001333874,3.738979e-7,0.00007435845,0.0007900745,0.00004033176,1.120775e-7,0.0009852319,0.0000778458,0.9933707,0.0002555962,0.00001037959,0.004381722],"study_design_scores_gemma":[0.0001708642,0.00001166408,0.0057964,0.00003552518,0.00002450712,0.000006759041,0.0000300864,0.0006149754,0.9916292,0.0003255602,0.001249862,0.0001046382],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985914,0.0002086761,0.0004921685,0.000005992573,0.0004645475,0.000131081,0.00005028891,0.0000357435,0.00002005684],"genre_scores_gemma":[0.9730921,0.00002541516,0.0267615,0.00000442239,0.00008091577,0.000008111775,0.000005201626,0.00001498173,0.000007337537],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02626933,"threshold_uncertainty_score":0.2961179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01593803112681449,"score_gpt":0.2209172915754419,"score_spread":0.2049792604486274,"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."}}