{"id":"W4206746246","doi":"10.1016/j.hydromet.2022.105820","title":"Simultaneous extraction of lithium, rubidium, cesium and potassium from lepidolite via roasting with iron(II) sulfate followed by water leaching","year":2022,"lang":"en","type":"article","venue":"Hydrometallurgy","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":76,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"China Geological Survey; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Rubidium; Roasting; Chemistry; Extraction (chemistry); Alum; Potassium; Caesium; Potassium sulfate; Lithium (medication); Nuclear chemistry; Inorganic chemistry; Chromatography","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":[0.0001912941,0.0002731765,0.0003138587,0.0001979882,0.0002694,0.0002601586,0.0002940182,0.0002482265,0.0008678958],"category_scores_gemma":[0.0002291129,0.0001695546,0.0002141479,0.0001736521,0.0001785341,0.0002416594,0.0003294754,0.0003831194,0.0005761302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002358476,"about_ca_system_score_gemma":0.0003629664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008757084,"about_ca_topic_score_gemma":0.002869818,"domain_scores_codex":[0.9998631,0.00001669091,0.00001108397,0.00003081891,0.00003954238,0.00003868434],"domain_scores_gemma":[0.9999315,0.00001358813,0.00001427928,0.000008264757,0.00002291507,0.000009481177],"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":[0.0001133205,0.00001002608,0.0001262793,0.00005828626,0.000005107048,0.00007162225,0.00004347479,0.00005809485,0.9964832,0.00006296714,0.00005277091,0.002914886],"study_design_scores_gemma":[0.000006842229,0.00005549121,0.0002836838,0.00000287292,0.000004102576,0.00005805964,0.00001538523,0.0002214519,0.9981706,0.00001870411,0.001158989,0.000003818508],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9782403,0.0006477968,0.01681846,0.0001366559,0.00002894994,0.00007793009,0.0002356139,0.0002340784,0.003580305],"genre_scores_gemma":[0.9766225,0.0004366732,0.01203726,0.00005933079,0.00000674174,0.00004212539,0.0002751729,0.00005831767,0.01046194],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008757084,"threshold_uncertainty_score":0.002903402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005161097331986424,"score_gpt":0.1971595531053864,"score_spread":0.1919984557733999,"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."}}