{"id":"W4404494399","doi":"10.1007/978-3-031-67398-6_220","title":"Optimized Magnesium Removal from Nickel and Cobalt Mixtures Using Ethylenediaminetetraacetic Acid (EDTA) and Temperature Control for Efficient Separation","year":2024,"lang":"en","type":"book-chapter","venue":"","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Ethylenediaminetetraacetic acid; Cobalt; Magnesium; Nickel; Edetic Acid; Chelation; Chemistry; Nuclear chemistry; Materials science; Metallurgy; Inorganic chemistry; Biochemistry","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000101118,0.0004159446,0.0004641134,0.0001677595,0.00009916191,0.0002641854,0.00005917767,0.0005552945,0.0001159563],"category_scores_gemma":[0.00002381463,0.0003800879,0.0001071322,0.00003224462,0.00005566249,0.0001050125,0.00001637494,0.0003388896,0.00001303041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000513037,"about_ca_system_score_gemma":0.00003925628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005147873,"about_ca_topic_score_gemma":0.00001781684,"domain_scores_codex":[0.9988055,0.000008582741,0.000389063,0.0004286033,0.0001856085,0.0001826395],"domain_scores_gemma":[0.999378,0.0001690248,0.00006957314,0.0001526281,0.0001196872,0.0001111465],"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":[0.001057661,0.00007062712,0.000003315175,0.008763865,0.001405899,0.0001333309,0.001311433,0.2429796,0.6332785,0.08145987,0.02568883,0.003847066],"study_design_scores_gemma":[0.005306245,0.0002074483,0.00001335036,0.0006985423,0.001787847,0.0002313763,0.0001304375,0.8615106,0.01766294,0.008508062,0.1019266,0.002016586],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02225538,0.3535086,0.158119,0.001494268,0.008203447,0.006271553,0.002917259,0.002788617,0.4444419],"genre_scores_gemma":[0.2434864,0.004374393,0.04540223,0.0009712605,0.001952611,0.0001432254,0.001151255,0.0005222886,0.7019963],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.618531,"threshold_uncertainty_score":0.9998651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01218627185742403,"score_gpt":0.2513367442680327,"score_spread":0.2391504724106087,"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."}}