{"id":"W4392993860","doi":"10.1021/acs.iecr.3c04671","title":"Separation of Magnesium Impurity from Nickel and Cobalt Mixtures Using Ethylenediaminetetraacetic Acid and Temperature Optimization","year":2024,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Hatch; Natural Sciences and Engineering Research Council of Canada","keywords":"Ethylenediaminetetraacetic acid; Cobalt; Impurity; Magnesium; Nickel; Inorganic chemistry; Chemistry; Materials science; Chelation; Metallurgy; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002632759,0.0001511975,0.0001629425,0.0001076725,0.00005546461,0.0001911812,0.00007422279,0.0003556652,0.00006552172],"category_scores_gemma":[0.0002001575,0.0001607272,0.00002230033,0.0003978757,0.00005563292,0.0002389497,0.00003051883,0.0006845467,0.000001071698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006403844,"about_ca_system_score_gemma":0.00007511478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002485351,"about_ca_topic_score_gemma":0.000001055084,"domain_scores_codex":[0.9990312,0.00002166305,0.0002374925,0.0002323973,0.0002724566,0.0002047848],"domain_scores_gemma":[0.9994692,0.0001839985,0.00001559375,0.0001197783,0.0001062321,0.0001052557],"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":[0.00001063412,0.000006142607,0.00003438164,0.0003906285,0.00002225051,0.000004650599,0.0001069268,0.1284737,0.8702614,0.00001107315,0.0003604427,0.0003177325],"study_design_scores_gemma":[0.0001900159,0.00001238494,0.00002744073,0.00009354671,0.00001244504,0.00001206193,0.00004365917,0.372141,0.6266739,0.00001304896,0.0006678283,0.0001126481],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990526,0.007526405,0.0008689679,0.0000833123,0.0003108134,0.0001524899,0.00006055263,0.0001956949,0.0002758092],"genre_scores_gemma":[0.9985862,0.0003303282,0.0003594576,0.000001735621,0.0004590877,0.00001166912,0.00006180071,0.00002987241,0.0001597905],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2436673,"threshold_uncertainty_score":0.6554264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0503635341152143,"score_gpt":0.3352147551060747,"score_spread":0.2848512209908604,"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."}}