{"id":"W3023817067","doi":"10.3390/su12093888","title":"Utilization of By-Products and Wastes as Supplementary Cementitious Materials in Structural Mortar for Sustainable Construction","year":2020,"lang":"en","type":"article","venue":"Sustainability","topic":"Concrete and Cement Materials Research","field":"Engineering","cited_by":150,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Windsor; George Brown College","funders":"","keywords":"Cementitious; Mortar; Durability; Environmental science; Portland cement; Carbon footprint; Sustainable development; Waste management; Fly ash; Cement; Greenhouse gas; Civil engineering; Engineering; Computer science; Materials science","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":[0.0003142327,0.0005038994,0.0005236579,0.001714839,0.0003686229,0.0008637354,0.0003921679,0.0005513876,0.001218734],"category_scores_gemma":[0.0003021573,0.0002364492,0.0009921328,0.001359892,0.000304422,0.001299996,0.0004952925,0.0006605579,0.0005409244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000387749,"about_ca_system_score_gemma":0.0004104909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000697039,"about_ca_topic_score_gemma":0.003360955,"domain_scores_codex":[0.9997161,0.00004266939,0.00002800089,0.00005462153,0.0001152016,0.00004333902],"domain_scores_gemma":[0.9998423,0.00004408816,0.00004842354,0.00001176468,0.00004324383,0.00001013951],"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":[0.0002838278,0.0009401647,0.00419158,0.02227946,0.0002023046,0.001035437,0.0004876063,0.003393271,0.6768237,0.007688266,0.001762936,0.2809115],"study_design_scores_gemma":[0.00002012913,0.001552854,0.01074989,0.001838436,0.0004834604,0.001154299,0.0007693021,0.002735377,0.8191632,0.002369225,0.159076,0.0000877584],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5039054,0.4519655,0.02094909,0.0008622473,0.0004301111,0.0001491832,0.0004370234,0.0001447886,0.02115666],"genre_scores_gemma":[0.7223144,0.2517171,0.01917748,0.0002712389,0.0001392186,0.00007548608,0.0003021575,0.00005215008,0.005950682],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001714839,"threshold_uncertainty_score":0.004077077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01256964108191699,"score_gpt":0.267459602446441,"score_spread":0.254889961364524,"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."}}