{"id":"W3206030255","doi":"10.3390/fuels2040024","title":"Interaction Behavior of Biogenic Material with Electric Arc Furnace Slag","year":2021,"lang":"en","type":"article","venue":"Fuels","topic":"Metallurgical Processes and Thermodynamics","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"ArcelorMittal (Canada)","funders":"Natural Resources Canada; University of Waterloo","keywords":"Slag (welding); Steelmaking; Raw material; Electric arc furnace; Metallurgy; Scrap; Carbon fibers; Materials science; Pyrolysis; Oil shale; Waste management; Composite number; Composite material; Chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002548253,0.00007329714,0.0001159873,0.00003257965,0.00001109174,0.00001592013,0.0000507661,0.00003781718,0.0006069089],"category_scores_gemma":[0.000004504725,0.00005988933,0.00003371479,0.000176266,0.000006655898,0.00006333561,0.00001106274,0.00006645398,0.0000180899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001912159,"about_ca_system_score_gemma":0.0000123712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000479181,"about_ca_topic_score_gemma":0.000007374674,"domain_scores_codex":[0.9996059,0.000008572764,0.0001187021,0.0000818929,0.00007883011,0.0001061002],"domain_scores_gemma":[0.999792,0.00001055252,0.00002491925,0.000103444,0.00003989105,0.00002921043],"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":[0.00003396259,0.000051272,0.00004389289,0.0001369235,0.00005276297,0.00004791465,0.00003704309,0.00133345,0.9931225,0.0004662625,0.00001322065,0.004660778],"study_design_scores_gemma":[0.0007452601,0.0002100266,0.002970617,0.00008449442,0.0001953568,0.0003433083,0.00007671193,0.04716121,0.9422567,0.0007209399,0.004803373,0.0004320086],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918017,0.0002031738,0.004835647,0.000006999317,0.0002633688,0.00004892356,0.00000823399,0.00005329186,0.002778694],"genre_scores_gemma":[0.9993781,0.00009554187,0.0003194898,0.000005277815,0.00005586735,0.000008419425,0.00001636763,0.00001785312,0.0001030147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05086582,"threshold_uncertainty_score":0.6645226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007855585247395712,"score_gpt":0.209882182270682,"score_spread":0.2020265970232863,"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."}}