{"id":"W4293171354","doi":"10.1002/cjce.24617","title":"Selective leaching of lithium ions from <scp>LiFePO<sub>4</sub></scp> powders using hydrochloric acid and sodium hypochlorite system","year":2022,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Science Foundation of Beijing Municipality; National Natural Science Foundation of China","keywords":"Leaching (pedology); Hydrochloric acid; Lithium iron phosphate; X-ray photoelectron spectroscopy; Sodium carbonate; Inorganic chemistry; Selective leaching; Materials science; Iron phosphate; Scanning electron microscope; Chemistry; Phosphate; Nuclear chemistry; Sodium; Chemical engineering; Metallurgy; Electrochemistry; Sulfuric acid; Organic chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002473742,0.0001617677,0.0002630406,0.000246814,0.0001963269,0.00005739014,0.0002058728,0.00006843481,0.000004898637],"category_scores_gemma":[0.0001447504,0.0001604038,0.00008418444,0.0003449062,0.00003517857,0.0001989382,0.00002111704,0.0007746712,8.403844e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000497269,"about_ca_system_score_gemma":0.0002048589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003200529,"about_ca_topic_score_gemma":0.00005509598,"domain_scores_codex":[0.9989657,0.00002368201,0.0004077659,0.0001032458,0.0002302672,0.0002693534],"domain_scores_gemma":[0.9991748,0.0001851421,0.0001371334,0.000106071,0.00008681006,0.0003100072],"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":[0.000003055376,0.000003258021,0.00003591813,0.00006295463,0.00009201203,0.00001357624,0.001140281,0.2325913,0.7656627,0.0001272556,0.0001825386,0.00008518215],"study_design_scores_gemma":[0.0002808055,0.00002226461,0.00006851396,0.00009855258,0.00007706615,0.000429069,0.0007710855,0.143272,0.8537817,0.00007424163,0.001009349,0.0001153276],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939089,0.001827587,0.003136206,0.00004752395,0.0005566693,0.00006573236,0.00002350032,0.00004849405,0.0003853581],"genre_scores_gemma":[0.9994809,0.000008961597,0.0002333242,0.0000251001,0.0001988075,0.000003658518,0.000004115247,0.00003974883,0.000005388775],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0893193,"threshold_uncertainty_score":0.6541077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008818800910576463,"score_gpt":0.1836449383980852,"score_spread":0.1748261374875087,"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."}}