{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001053057,0.00005058816,0.0001381933,0.00001338581,0.00001270745,0.00001000458,0.00009092595,0.00004912473,0.0002492729],"category_scores_gemma":[0.0001802112,0.00003746518,0.00003396193,0.0001155944,0.00001649855,0.0001573556,0.000008223911,0.00007802954,0.00001566392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003840076,"about_ca_system_score_gemma":0.00001680287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004452819,"about_ca_topic_score_gemma":0.0000435224,"domain_scores_codex":[0.9995334,0.00003654147,0.0002212252,0.00006248125,0.0001015447,0.00004478504],"domain_scores_gemma":[0.9996638,0.0001170318,0.00005624913,0.0001038361,0.0000314107,0.00002770129],"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":[0.00039236,0.000117353,0.001530409,0.0001662629,0.000554318,0.000003957462,0.0029875,0.07630333,0.6722184,0.001759023,0.2115944,0.03237258],"study_design_scores_gemma":[0.0004800101,0.0001064097,0.001513018,0.00002490191,0.00006199258,6.847218e-7,0.0003108787,0.003622513,0.769386,0.0005548247,0.2238072,0.000131613],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886956,0.0008419258,0.0007856401,0.0007515048,0.000216118,0.00007452528,0.00008474096,0.00008017912,0.008469793],"genre_scores_gemma":[0.998882,0.00008630991,0.0004485554,0.0001916725,0.0001983255,0.000002687147,0.00002274303,0.000008368989,0.000159368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09716751,"threshold_uncertainty_score":0.2729364,"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."}}