{"id":"W4410620276","doi":"10.1016/b978-0-323-85936-3.00023-5","title":"Slag Engineering for Development of a Continuous Steelmaking Process","year":2025,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Metallurgical Processes and Thermodynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Steelmaking; Slag (welding); Process (computing); Engineering; Manufacturing engineering; Process engineering; Metallurgy; Environmental science; Materials science; Mechanical engineering; Computer science","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":[0.0002264387,0.0004254861,0.0003074657,0.0006025232,0.0004156087,0.001335508,0.000475825,0.0006741243,0.005311543],"category_scores_gemma":[0.000133482,0.0002938072,0.0003515725,0.0006040349,0.0004818118,0.0009166137,0.0005659474,0.001015046,0.002076324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006354561,"about_ca_system_score_gemma":0.0008894971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009166578,"about_ca_topic_score_gemma":0.00258258,"domain_scores_codex":[0.9998178,0.000009035015,0.000005748578,0.00002204303,0.000130395,0.0000150641],"domain_scores_gemma":[0.9999516,0.00001411933,0.000003565407,0.000005077819,0.00002060893,0.000005030794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008898945,0.0001255217,0.0002730137,0.0009672348,0.00002119134,0.000355912,0.0003506612,0.0143487,0.4097415,0.08794907,0.01024167,0.4755366],"study_design_scores_gemma":[0.00004434915,0.0003920218,0.001539908,0.0003737856,0.00003949938,0.0007463499,0.0002131458,0.04169615,0.3274925,0.05301905,0.5744036,0.00003950156],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06096985,0.04808074,0.5697737,0.001871902,0.00141858,0.0002275027,0.0003066295,0.001604271,0.3157469],"genre_scores_gemma":[0.3695595,0.0295231,0.2609195,0.0003452114,0.0002421169,0.0001640083,0.0004499788,0.0005068604,0.3382897],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005311543,"threshold_uncertainty_score":0.01776892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01052602007359226,"score_gpt":0.2231542869430133,"score_spread":0.212628266869421,"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."}}