{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002173288,0.0002435587,0.0003147471,0.0001608379,0.0003582634,0.00005420838,0.000124417,0.00007118214,0.0008237283],"category_scores_gemma":[0.00002258397,0.0002134521,0.0000564221,0.0001984584,0.00003933548,0.0004183221,0.00007577954,0.0003903759,0.00001465192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006635979,"about_ca_system_score_gemma":0.00001206542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002557739,"about_ca_topic_score_gemma":0.00002772612,"domain_scores_codex":[0.9985496,0.00007661884,0.0004064954,0.0003180344,0.0003411957,0.0003080724],"domain_scores_gemma":[0.9993874,0.0001628213,0.0001140075,0.0001961077,0.00003902628,0.000100651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006638781,0.00007304176,0.0001141224,0.00006763526,0.0000730544,0.00002421814,0.001072473,0.2704078,0.726826,0.00000599845,0.0003565577,0.000912731],"study_design_scores_gemma":[0.001616715,0.0004490174,0.0002668728,0.00003639797,0.000195411,0.0002784984,0.0007954069,0.6305265,0.172573,0.0001182636,0.1922162,0.000927649],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9771776,0.000513595,0.01735073,0.0001284837,0.0003656393,0.000147816,0.00003729711,0.0002791635,0.003999728],"genre_scores_gemma":[0.9955246,0.00004136179,0.0005799094,0.00004795989,0.00006019615,0.00003587706,0.0002100293,0.00006077163,0.003439252],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.554253,"threshold_uncertainty_score":0.9019248,"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."}}