{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001945952,0.0003498443,0.0002125095,0.0002273187,0.0001267663,0.0003310646,0.0001996983,0.0002805497,0.0007547156],"category_scores_gemma":[0.0002632556,0.0001213867,0.0002886796,0.000329913,0.0001871352,0.0002385592,0.0002199454,0.0003305581,0.0001913092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001915334,"about_ca_system_score_gemma":0.0002668758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001206323,"about_ca_topic_score_gemma":0.003027141,"domain_scores_codex":[0.999803,0.00002638744,0.00001408621,0.00002786538,0.00007534696,0.00005332963],"domain_scores_gemma":[0.999881,0.00002749767,0.00002868753,0.000008568987,0.00003747473,0.0000167094],"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":[0.0002343662,0.00002192965,0.0003106607,0.0000892019,0.000008214965,0.00005578069,0.00003195143,0.0004767666,0.9957403,0.0001071217,0.00003861266,0.0028852],"study_design_scores_gemma":[0.000002667768,0.0001095813,0.0004578141,0.000001699419,0.00001043746,0.00001886424,0.0000145188,0.0007093903,0.998225,0.000006407746,0.0004406878,0.000002811307],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997666,0.0005608534,0.0007917958,0.00002377002,0.00001140046,0.000004522125,0.00003410474,0.00003125398,0.0008763929],"genre_scores_gemma":[0.9980933,0.000314475,0.0006146184,0.000007551218,0.00000337571,0.000002413584,0.00003149454,0.000006078324,0.0009267573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001206323,"threshold_uncertainty_score":0.002524793,"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."}}