{"id":"W4386791942","doi":"10.52209/1609-1825_2023_1_73","title":"Analysis of Different Types of Carbonaceous Reductants and Methods of Slag and Sludge Recovery at Converter Production","year":2023,"lang":"en","type":"article","venue":"Trudy Universiteta","topic":"Coal and Coke Industries Research","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"ArcelorMittal (Canada)","funders":"","keywords":"Briquette; Slag (welding); Coal; Coke; Lime; Waste management; Materials science; Pig iron; Carbide; Carbon fibers; Ferroalloy; Metallurgy; Petroleum coke; Pulp and paper industry; Composite material; Composite number","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":[],"consensus_categories":[],"category_scores_codex":[0.0001315983,0.00007490692,0.0003173949,0.0004323696,0.00003121662,0.00000281549,0.00007494335,0.00006041326,0.0001835146],"category_scores_gemma":[0.00005075556,0.00006563288,0.0000612942,0.0008983609,0.0001489881,0.00005086415,0.0001724437,0.00005744685,8.444775e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000336563,"about_ca_system_score_gemma":0.0000172674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007300107,"about_ca_topic_score_gemma":0.0002606686,"domain_scores_codex":[0.9992946,0.0001174971,0.000145993,0.000184011,0.0001485724,0.0001093734],"domain_scores_gemma":[0.999468,0.0001266188,0.0000845516,0.0001920183,0.00008838525,0.00004043469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001835259,0.0002065862,0.1131166,0.0003992428,0.00570561,0.00003093551,0.00541381,0.0009347715,0.5666077,0.001803416,0.001021155,0.3029249],"study_design_scores_gemma":[0.001914215,0.0009907762,0.5613802,0.000111768,0.003983679,0.00001430419,0.007863749,0.01718821,0.3997213,0.0009833769,0.005320872,0.0005275832],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997591,0.000169424,0.000008597563,0.0001264441,0.00005617716,0.00006789692,0.00002512329,0.00001172535,0.001943613],"genre_scores_gemma":[0.9906429,0.0004346472,0.0000403597,0.000001638185,0.000009099639,4.038539e-7,0.00001860224,0.000005312086,0.008847008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4482636,"threshold_uncertainty_score":0.2676431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02940365601483518,"score_gpt":0.2906088486838018,"score_spread":0.2612051926689666,"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."}}