{"id":"W4296670244","doi":"10.1016/j.seppur.2022.122163","title":"Lithium extraction from high magnesium salt lake brine with an integrated membrane technology","year":2022,"lang":"en","type":"article","venue":"Separation and Purification Technology","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Nanofiltration; Membrane; Chemistry; Ultrafiltration (renal); Ternary operation; Permeation; Brine; Magnesium; Salt (chemistry); Reverse osmosis; Membrane technology; Extraction (chemistry); Chromatography; Chemical engineering; Inorganic chemistry; Organic chemistry","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001315856,0.0002079965,0.0002093685,0.0007595628,0.0003459739,0.00006433487,0.0001904067,0.0002458646,0.001109714],"category_scores_gemma":[0.00002250069,0.0002145797,0.00001628756,0.001302118,0.0001179467,0.0004452859,0.00002469373,0.000522823,0.00004747586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006499881,"about_ca_system_score_gemma":0.00005394713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003641694,"about_ca_topic_score_gemma":0.0005200645,"domain_scores_codex":[0.9987999,0.00005265671,0.0003551909,0.0004028135,0.0001887854,0.0002007156],"domain_scores_gemma":[0.9992335,0.00002747384,0.0001310995,0.0003818703,0.0001638549,0.00006221056],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006520911,0.0007010576,0.003351052,0.00013753,0.0001721962,0.00003465137,0.0009781992,0.02950738,0.7440391,0.1005602,0.004341316,0.1155253],"study_design_scores_gemma":[0.001397806,0.000741242,0.00269418,0.000009191332,0.00006915756,0.0002805851,0.002896627,0.02768421,0.2353594,0.006859333,0.7213227,0.0006856321],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9182053,0.0008763694,0.06545798,0.006934104,0.0006274261,0.0006520024,0.0001705387,0.004325069,0.00275124],"genre_scores_gemma":[0.992834,0.0001656578,0.003680343,0.0001247018,0.00004990522,0.0003888774,0.001016945,0.00003736292,0.001702186],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7169814,"threshold_uncertainty_score":0.9998034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007568928921054737,"score_gpt":0.2423456741478432,"score_spread":0.2347767452267885,"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."}}