{"id":"W2091555653","doi":"10.1039/c4ra05458j","title":"Response surface design of solid waste based geopolymer","year":2014,"lang":"en","type":"article","venue":"RSC Advances","topic":"Concrete and Cement Materials Research","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Air Canada","funders":"","keywords":"Geopolymer; Fly ash; Alkali metal; Materials science; Slag (welding); Response surface methodology; Municipal solid waste; Waste management; Metallurgy; Chemical engineering; Composite material; Chemistry; Engineering; Chromatography; Organic chemistry","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":[0.0004989526,0.0004203159,0.0006109666,0.0002638688,0.0001466209,0.0004748593,0.0003800686,0.0005645152,0.001191985],"category_scores_gemma":[0.0004015681,0.0002317447,0.0005642419,0.0003224808,0.0001576822,0.0001883377,0.0002201055,0.0004095663,0.0004277672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003571281,"about_ca_system_score_gemma":0.0003528806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005535627,"about_ca_topic_score_gemma":0.0007225533,"domain_scores_codex":[0.9995022,0.0001137357,0.00002575634,0.00007050182,0.0002096482,0.00007813791],"domain_scores_gemma":[0.9998462,0.00004617048,0.00002582931,0.00001005316,0.00006001093,0.00001169603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001727902,0.000123024,0.000210757,0.0001775366,0.00001703471,0.00005517669,0.00002143023,0.03204936,0.9503305,0.000522911,0.00009029618,0.0162292],"study_design_scores_gemma":[0.0000297026,0.0008282955,0.0008605247,0.000004343786,0.00001479441,0.00003805555,0.00002631487,0.1793929,0.8164179,0.0001610075,0.002209553,0.00001656973],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5870653,0.0007950696,0.4052573,0.0001384021,0.00007625498,0.0004060644,0.0003253798,0.000976925,0.004959293],"genre_scores_gemma":[0.927562,0.0004332646,0.06773345,0.00005634882,0.00001231271,0.0005215871,0.0002427211,0.00005947638,0.003378947],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001191985,"threshold_uncertainty_score":0.003987551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01728362616713569,"score_gpt":0.2706789590752478,"score_spread":0.2533953329081121,"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."}}