{"id":"W4387234691","doi":"10.3390/met13101675","title":"Towards Using MMO Anodes in Zinc Electrorefining: Mn Removal by Simulated Plant Off-Gas","year":2023,"lang":"en","type":"article","venue":"Metals","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Manganese; Zinc; Electrowinning; Cobalt; Inorganic chemistry; Coprecipitation; Chemistry; Electrolyte; Anode; Materials science; Metallurgy; Electrode","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002473781,0.0004784527,0.0002873029,0.0002106128,0.0001385669,0.0004761994,0.0004419536,0.0003858336,0.0003835114],"category_scores_gemma":[0.0002317527,0.0002045022,0.0002370281,0.0001850602,0.0001586376,0.0003180062,0.0002968119,0.0003038569,0.000265043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000231382,"about_ca_system_score_gemma":0.0001752001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008998591,"about_ca_topic_score_gemma":0.00317991,"domain_scores_codex":[0.9998361,0.00002419314,0.00001113784,0.0000407597,0.00006237837,0.00002548051],"domain_scores_gemma":[0.9999279,0.00001554496,0.00002030411,0.000008163854,0.00001890141,0.000009158878],"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":[0.00003725756,0.00001302722,0.0001320033,0.0000670981,0.000002882394,0.00003237271,0.00001032195,0.00009478072,0.9978482,0.00003730908,0.00001421946,0.001710687],"study_design_scores_gemma":[0.000003280237,0.00007189361,0.0004486618,0.000004187797,0.000006332641,0.00003156953,0.000012855,0.0006594684,0.9979852,0.00001476053,0.0007597431,0.000002021021],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.98255,0.001657257,0.0139008,0.0001138101,0.00003232796,0.00005672187,0.0001154703,0.00009506039,0.001478588],"genre_scores_gemma":[0.9782885,0.001436365,0.01840991,0.00003273563,0.000006936524,0.00002331319,0.0001224069,0.00003290829,0.001646883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008998591,"threshold_uncertainty_score":0.001789212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03870352106425088,"score_gpt":0.2913424512771113,"score_spread":0.2526389302128604,"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."}}