{"id":"W2091453486","doi":"10.1179/cmq.2008.47.2.149","title":"EVALUATION OF OPTIONS FOR METALS RECOVERY FROM ALTASTEEL EAF DUST","year":2008,"lang":"en","type":"article","venue":"Canadian Metallurgical Quarterly","topic":"Metal Extraction and Bioleaching","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Calcination; Roasting; Oxidizing agent; Chemistry; Leaching (pedology); Kiln; Electric arc furnace; Metallurgy; Zinc; Rotary kiln; Reagent; Waste management; Materials science; Environmental science; Engineering; Catalysis; Organic 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007628776,0.0001550098,0.000283204,0.0001980013,0.0001088233,0.00002306883,0.0001269997,0.0001301028,0.001446637],"category_scores_gemma":[0.00009604896,0.0001493475,0.0002139457,0.0001627152,0.00004309048,0.0002190528,0.000001999931,0.0001419025,0.00008980079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001700908,"about_ca_system_score_gemma":0.0001903911,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005753001,"about_ca_topic_score_gemma":0.02068911,"domain_scores_codex":[0.9986873,0.0001229928,0.0003736683,0.0001994264,0.0003480903,0.0002684948],"domain_scores_gemma":[0.9990609,0.000119142,0.00005218323,0.0002244649,0.0001809037,0.0003623861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001612955,0.000386372,0.00008331762,0.0002425981,0.005619179,0.0001557224,0.002990959,0.1200015,0.1507315,0.01661835,0.02175853,0.6812507],"study_design_scores_gemma":[0.003281363,0.0006456622,0.01186092,0.00007147765,0.001745901,0.0001436003,0.0007387425,0.771661,0.001959943,0.005441924,0.2012511,0.001198334],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9554092,0.001689305,0.02497183,0.0002017534,0.00131799,0.0007848996,0.000644117,0.0001315863,0.01484934],"genre_scores_gemma":[0.9967658,0.00002567416,0.002451211,0.00006273804,0.0001522478,0.0000682953,0.0001424543,0.0000246118,0.0003070025],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6800523,"threshold_uncertainty_score":0.9994662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05553598908587506,"score_gpt":0.2581025126930922,"score_spread":0.2025665236072171,"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."}}