{"id":"W435922393","doi":"10.1016/j.jenvman.2015.04.039","title":"Factors influencing the Zn and Mn extraction from pyrometallurgical sludge in the steel manufacturing industry","year":2015,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"National Science Council","keywords":"Leaching (pedology); Sulfuric acid; Metallurgy; Manganese; Zinc; Chemistry; Lixiviant; Materials science; Nuclear chemistry; Environmental 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002611493,0.00009923907,0.00009502537,0.00007153102,0.00004442556,0.00006708763,0.0001297726,0.00005783775,0.00009580424],"category_scores_gemma":[0.000004313164,0.00005773814,0.00003228297,0.00004267569,0.00002706784,0.0003061562,0.00002973511,0.0004212138,0.000007520144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001138176,"about_ca_system_score_gemma":0.00000233273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000376976,"about_ca_topic_score_gemma":0.000004930661,"domain_scores_codex":[0.999249,0.00003770728,0.0002643734,0.00006708405,0.0002881093,0.00009366932],"domain_scores_gemma":[0.9997132,0.00005437019,0.00009204075,0.00008548025,0.000002130186,0.0000527407],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0004533127,0.0016799,0.1010394,0.0003684275,0.002317072,0.001297754,0.06471284,0.6202748,0.05976741,0.000938854,0.01635742,0.1307928],"study_design_scores_gemma":[0.0008143742,0.00008146472,0.8889369,0.00003581448,0.00006537629,0.00005400804,0.04498858,0.0006000093,0.005177796,0.0004847721,0.05858529,0.0001756537],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968753,0.0003977868,0.0001985114,0.0001628657,0.0001832227,0.00008363573,0.000002334546,0.000008242832,0.002088115],"genre_scores_gemma":[0.9994494,0.0001949401,0.00006285308,0.0000983506,0.00006130512,0.000003020245,0.000002035596,0.000007998351,0.0001201242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7878975,"threshold_uncertainty_score":0.2354493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0283424085835064,"score_gpt":0.2410166230750063,"score_spread":0.2126742144914999,"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."}}