{"id":"W3110203292","doi":"10.3390/met10111553","title":"Recovery of Cobalt from the Residues of an Industrial Zinc Refinery","year":2020,"lang":"en","type":"article","venue":"Metals","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec; Université du Québec en Abitibi-Témiscamingue; Université Laval","funders":"Hydro-Québec","keywords":"Cobalt; Zinc; Cobalt extraction techniques; Leaching (pedology); Cadmium; Chemistry; Refinery; Residue (chemistry); Metal; Zinc hydroxide; Sulfide; Zinc sulfide; Metallurgy; Inorganic chemistry; Materials science; Environmental science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003387079,0.0003057614,0.0004113747,0.0005795714,0.0005353308,0.0005279203,0.0003790339,0.0003700543,0.001226094],"category_scores_gemma":[0.0004654402,0.0001499449,0.0002997686,0.000425289,0.000224876,0.0001908903,0.0003271654,0.0003720213,0.0006197467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000402402,"about_ca_system_score_gemma":0.0007113364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005295672,"about_ca_topic_score_gemma":0.0111888,"domain_scores_codex":[0.9994859,0.00004247186,0.00002331211,0.00008051185,0.0002986524,0.00006905859],"domain_scores_gemma":[0.999832,0.00002079254,0.00002921162,0.00002473617,0.00007687068,0.00001628086],"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":[0.0001409646,0.00005017698,0.001071232,0.00008977506,0.000005940663,0.0001502244,0.00004446422,0.0002288083,0.9937612,0.00003234378,0.00005767618,0.004367083],"study_design_scores_gemma":[0.000006966182,0.0002136629,0.00252567,0.000008304575,0.00001042168,0.00008629551,0.00004712141,0.0006253882,0.9954289,0.00001416963,0.001029657,0.000003423162],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918247,0.0002365485,0.005750596,0.00005192679,0.00001328794,0.00006639543,0.0001794431,0.00009357088,0.001783577],"genre_scores_gemma":[0.9874182,0.0003115732,0.007140727,0.00002405552,0.000004229684,0.00001817466,0.0002365828,0.00004285858,0.004803618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005295672,"threshold_uncertainty_score":0.0105297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07248490901123138,"score_gpt":0.266682411394853,"score_spread":0.1941975023836216,"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."}}