{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002481965,0.0004116803,0.0003748692,0.0004763919,0.0002883427,0.0003526847,0.0004594226,0.0004316969,0.0004119822],"category_scores_gemma":[0.000291227,0.0002992769,0.0003076914,0.0002657502,0.0002738564,0.0005090791,0.0004323528,0.0002856761,0.0002046776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000351987,"about_ca_system_score_gemma":0.0003969256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009193404,"about_ca_topic_score_gemma":0.0017527,"domain_scores_codex":[0.9997589,0.00003177334,0.00001989218,0.00004850612,0.0001050543,0.00003590687],"domain_scores_gemma":[0.9999298,0.00001086898,0.00002298183,0.00000612416,0.00002330065,0.000006915363],"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":[0.00006629531,0.000009647516,0.0001964475,0.0000884551,0.000008608743,0.00005569054,0.00001529377,0.0001074167,0.9966306,0.00004980945,0.00005265644,0.002719149],"study_design_scores_gemma":[0.00001331865,0.0000652573,0.0004665772,0.000003172761,0.00001235948,0.00008697892,0.00001387427,0.0009031629,0.9976037,0.00001545293,0.0008106144,0.00000560115],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886099,0.0008440891,0.008760544,0.0001126792,0.00001919903,0.00005311101,0.0001433531,0.0001857611,0.001271399],"genre_scores_gemma":[0.987094,0.0008534825,0.00996181,0.00006560949,0.000008948603,0.00006046183,0.0002067835,0.00003525181,0.001713625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009193404,"threshold_uncertainty_score":0.002553821,"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."}}