{"id":"W4319591773","doi":"10.1007/978-3-031-22532-1_114","title":"Valorization of Treated Spent Potlining in Cement Industry","year":2023,"lang":"en","type":"book-chapter","venue":"˜The œminerals, metals & materials series","topic":"Bauxite Residue and Utilization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; École de Technologie Supérieure; Rio Tinto (Canada)","funders":"","keywords":"Waste management; Cement; Hazardous waste; Environmental science; Leaching (pedology); Co-processing; Cement kiln; Construction industry; Carbon footprint; Greenhouse gas; Engineering; Materials science; Metallurgy","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004457583,0.0004649756,0.0008139839,0.0002996222,0.0000494482,0.00008718366,0.0002226537,0.0006052374,0.0006444803],"category_scores_gemma":[0.00001682466,0.0003878042,0.0000947246,0.0001453325,0.00007189217,0.000207975,0.0000917146,0.0002502674,0.00009576081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007485227,"about_ca_system_score_gemma":0.00003267113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001346405,"about_ca_topic_score_gemma":0.0002460477,"domain_scores_codex":[0.9980296,0.0000664354,0.001006798,0.0002865868,0.0003138974,0.0002966794],"domain_scores_gemma":[0.9991175,0.00004974423,0.0002927385,0.0004131425,0.00008179103,0.00004511724],"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":[0.000185545,0.00005047821,0.0001140741,0.001876173,0.0008779214,0.0000753838,0.0009530793,0.02206882,0.9242547,0.04447619,0.003649495,0.001418135],"study_design_scores_gemma":[0.002545094,0.0005240267,0.004285728,0.004464909,0.001609751,0.0000591556,0.0005052185,0.001218157,0.8225709,0.02762348,0.1309202,0.003673451],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8440549,0.002904654,0.0002815134,0.0003115702,0.007622604,0.00326666,0.001375434,0.00178961,0.138393],"genre_scores_gemma":[0.7151343,0.003212919,0.0001124527,0.00004059652,0.0007481049,0.0001124879,0.001573143,0.000407792,0.2786582],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1402652,"threshold_uncertainty_score":0.9998574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03324327612368591,"score_gpt":0.2325214452279634,"score_spread":0.1992781691042775,"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."}}