{"id":"W4308901123","doi":"10.1016/j.psep.2022.11.026","title":"Acid-free extraction of manganese from pyrolusite tailings by in situ redox interaction with waste copperas","year":2022,"lang":"en","type":"article","venue":"Process Safety and Environmental Protection","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Chongqing University of Science and Technology; China Postdoctoral Science Foundation; Natural Science Foundation of Chongqing; Chongqing University; National Natural Science Foundation of China","keywords":"Pyrolusite; Redox; Manganese; Chemistry; Leaching (pedology); Tailings; Roasting; Extraction (chemistry); Inorganic chemistry; Reducing agent; Nuclear chemistry; Chromatography; Organic chemistry; Geology","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":[0.0001481739,0.0002481937,0.0001337914,0.0001251812,0.0002006143,0.0001867838,0.0002483721,0.0002040838,0.0009454452],"category_scores_gemma":[0.0001570005,0.0001351257,0.0001502834,0.0001026078,0.0001364791,0.0001935275,0.0001998806,0.0002641706,0.0002269062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002649637,"about_ca_system_score_gemma":0.0002160821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001131717,"about_ca_topic_score_gemma":0.003901634,"domain_scores_codex":[0.9999027,0.00001293681,0.000004765289,0.00002082131,0.00002617187,0.0000325708],"domain_scores_gemma":[0.9999536,0.000009988225,0.00001176301,0.000005931201,0.00001057755,0.000008040259],"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":[0.00007352747,0.000009887519,0.000128103,0.00003760892,0.000004196492,0.00003431585,0.00003199239,0.00007658864,0.9982072,0.00006346242,0.00004800095,0.001285081],"study_design_scores_gemma":[0.000002724787,0.00003549848,0.0003156943,0.000001803662,0.000003006278,0.00001664661,0.00001719506,0.0003712856,0.9986616,0.00001302013,0.0005599384,0.000001570084],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939554,0.0002399453,0.003790036,0.00006288125,0.00001993762,0.00001795136,0.0000696271,0.00004491333,0.00179934],"genre_scores_gemma":[0.9950951,0.0001342827,0.001393238,0.00001928154,0.000004119254,0.000006393188,0.00006914997,0.0000124126,0.003266013],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001131717,"threshold_uncertainty_score":0.003162861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004815662548094062,"score_gpt":0.1947954868054468,"score_spread":0.1899798242573528,"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."}}