{"id":"W4402893057","doi":"10.1016/j.conbuildmat.2024.138456","title":"Performances enhancing of supersulfated cement (SSC) using waste alkaline activators: Red mud and carbide slag","year":2024,"lang":"en","type":"article","venue":"Construction and Building Materials","topic":"Concrete and Cement Materials Research","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Red mud; Slag (welding); Cement; Materials science; Waste management; Carbide; Metallurgy; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002772182,0.0001351798,0.0002306724,0.0001679785,0.00007079933,0.0001841538,0.000041107,0.00006258601,0.0003281816],"category_scores_gemma":[0.00001278702,0.0001241182,0.00001870564,0.0001170496,0.00008084996,0.0002411685,0.0000540775,0.00005028889,0.000001280064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003542555,"about_ca_system_score_gemma":0.00001943679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005896333,"about_ca_topic_score_gemma":0.000001633604,"domain_scores_codex":[0.9991716,0.00003340497,0.0003137943,0.000172822,0.000120859,0.0001875843],"domain_scores_gemma":[0.9997807,0.00002607081,0.00002972711,0.0000843598,0.00002934862,0.00004975803],"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":[0.00002584205,0.000001227374,0.00006637514,0.0007339266,0.00005752033,0.000002095082,0.0001589333,0.00006736273,0.9945596,0.0002007217,0.0000185924,0.00410777],"study_design_scores_gemma":[0.000221304,0.00002672234,0.00002369754,0.0003839736,0.00003100343,0.00003020432,0.0004267959,0.003932828,0.9938134,0.000038862,0.0009411395,0.0001300456],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976842,0.0004479138,0.0003735851,0.00001779527,0.001120415,0.000137166,0.00002709499,0.0001143186,0.00007755071],"genre_scores_gemma":[0.997552,0.0008038192,0.001401974,0.00000347971,0.0001935299,0.000006703449,0.000009240533,0.00002031845,0.000008918146],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003977724,"threshold_uncertainty_score":0.5061392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01655864141499686,"score_gpt":0.257683110022398,"score_spread":0.2411244686074011,"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."}}