{"id":"W2027362674","doi":"10.1016/j.hydromet.2006.12.001","title":"Electrolyte purification in energy-saving monovalent copper electrowinning processes","year":2007,"lang":"en","type":"article","venue":"Hydrometallurgy","topic":"Metal Extraction and Bioleaching","field":"Engineering","cited_by":49,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Chemistry; Electrowinning; Inorganic chemistry; Copper; Zinc; Nickel; Electrolyte; Hydrometallurgy; Reagent; Sulfuric acid; Cobalt; Leaching (pedology); Metal; Manganese; Electrode","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":[],"consensus_categories":[],"category_scores_codex":[0.000516266,0.0001849957,0.0001986237,0.0004082496,0.00005469406,0.0000411994,0.0001340067,0.00009910908,0.00009448059],"category_scores_gemma":[0.00005468988,0.0001854737,0.00005486867,0.0007939503,0.00001798075,0.0002781951,0.00001234415,0.0002600405,0.00004687096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001329024,"about_ca_system_score_gemma":0.00002296408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004718481,"about_ca_topic_score_gemma":0.0002215738,"domain_scores_codex":[0.9986933,0.00002150322,0.0003809026,0.0002303178,0.000204041,0.0004699029],"domain_scores_gemma":[0.9996126,0.00006136985,0.00005073271,0.0001618671,0.00003026303,0.00008319503],"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":[0.00002418109,0.00007676785,0.0003567254,0.00009919189,0.00005097759,0.00002515932,0.0001759972,0.0116969,0.9385219,0.001187538,0.00009043871,0.04769417],"study_design_scores_gemma":[0.001082057,0.0001630267,0.01368697,0.0001786322,0.00005461488,0.0002013082,0.0002380203,0.1508874,0.6148605,0.0006689536,0.2166578,0.001320767],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9162634,0.002361253,0.0577856,0.00005627282,0.0002305522,0.000108541,5.176709e-7,0.0004473873,0.02274649],"genre_scores_gemma":[0.9981335,0.0003936641,0.0008144678,0.00008755993,0.0001025611,0.00001781499,0.00001740937,0.00003897348,0.0003940725],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3236615,"threshold_uncertainty_score":0.7563399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00916704190533923,"score_gpt":0.2183886609060819,"score_spread":0.2092216190007426,"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."}}