{"id":"W4408473447","doi":"10.1016/j.cemconcomp.2025.106048","title":"Water quenching and grinding of ladle furnace slag for use as supplementary cementitious material in cemented mine backfills","year":2025,"lang":"en","type":"article","venue":"Cement and Concrete Composites","topic":"Tailings Management and Properties","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre de Recherche Industrielle du Québec; Université du Québec en Abitibi-Témiscamingue","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; ArcelorMittal","keywords":"Cementitious; Grinding; Metallurgy; Slag (welding); Quenching (fluorescence); Materials science; Cement","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002849355,0.000209508,0.0003695195,0.0002937602,0.0004262922,0.0002279803,0.0002935821,0.0002559427,0.002069369],"category_scores_gemma":[0.0003640357,0.0001740951,0.000263443,0.0002211006,0.000322175,0.0002785794,0.0001685835,0.0003707197,0.0002206388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004896636,"about_ca_system_score_gemma":0.000569639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0068028,"about_ca_topic_score_gemma":0.02036567,"domain_scores_codex":[0.9998261,0.00002371565,0.000007746917,0.00003656452,0.00006261431,0.00004329207],"domain_scores_gemma":[0.999864,0.00004652282,0.00002844032,0.00001195828,0.00002866571,0.00002038838],"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":[0.0005292514,0.00007770652,0.001075647,0.0000679162,0.000006700046,0.0000335616,0.0001280792,0.00116516,0.9881148,0.0001215547,0.00009398546,0.008585622],"study_design_scores_gemma":[0.00001051237,0.0004097863,0.007410784,0.000003416048,0.0000107246,0.00001763146,0.00004411865,0.001878981,0.9896018,0.00004211715,0.0005639215,0.000006122667],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964895,0.0001648775,0.002053873,0.00002063885,0.000007361507,0.00002350628,0.00007995357,0.00007115736,0.001089115],"genre_scores_gemma":[0.9968807,0.00006203203,0.001330431,0.00001150266,0.000002104888,0.000006975344,0.0000526891,0.00002136335,0.001632254],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0068028,"threshold_uncertainty_score":0.01352638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00898701069600593,"score_gpt":0.2065067163238566,"score_spread":0.1975197056278507,"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."}}