{"id":"W2788395218","doi":"10.1051/matecconf/201814901072","title":"Feasibility of backfilling mines using cement kiln dust, fly ash, and cement blends","year":2018,"lang":"en","type":"article","venue":"MATEC Web of Conferences","topic":"Concrete and Cement Materials Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Queen's University; Queen's University Belfast","keywords":"Cement kiln; Cement; Compressive strength; Fly ash; Lime; Materials science; Thermogravimetric analysis; Alkalinity; Kiln; Waste management; Composite material; Environmental science; Metallurgy; Chemical engineering; Engineering; Chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005771607,0.0004936528,0.0004773494,0.0003773622,0.0003017601,0.0007006473,0.0004725377,0.0004982055,0.0009653645],"category_scores_gemma":[0.0008364728,0.0003011252,0.0003783967,0.0002696243,0.000319636,0.00055306,0.0004997117,0.0003211211,0.0003540787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002659849,"about_ca_system_score_gemma":0.0003658787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00100653,"about_ca_topic_score_gemma":0.003730193,"domain_scores_codex":[0.9995356,0.00006561592,0.00004378782,0.0000789925,0.0001882686,0.00008783094],"domain_scores_gemma":[0.99968,0.00007816553,0.00007761903,0.00004153431,0.00007211873,0.00005056805],"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":[0.0003035331,0.0001061128,0.002179009,0.00008908509,0.000009463079,0.00007879108,0.00006160007,0.0005045676,0.9901957,0.00003562213,0.00002550309,0.006411087],"study_design_scores_gemma":[0.00001510783,0.001366512,0.008378215,0.00001348872,0.00002840331,0.0001357374,0.000149161,0.001620393,0.9873123,0.00002808724,0.0009414549,0.00001128259],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983809,0.0001476944,0.0009947943,0.00001340018,0.00000525211,0.00002078027,0.00004397429,0.00003503109,0.0003582756],"genre_scores_gemma":[0.9967499,0.0001445672,0.002558502,0.00001105776,0.000002157826,0.000009689039,0.00004770918,0.00001360995,0.0004627783],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00100653,"threshold_uncertainty_score":0.003229439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06932398675244851,"score_gpt":0.3028647421750308,"score_spread":0.2335407554225823,"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."}}