{"id":"W1519382879","doi":"10.2166/wst.2000.0280","title":"Bioleaching of copper mining residues by Aspergillus niger","year":2000,"lang":"en","type":"article","venue":"Water Science & Technology","topic":"Metal Extraction and Bioleaching","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Concordia University","funders":"Natural Resources Canada; McGill University","keywords":"Bioleaching; Aspergillus niger; Residue (chemistry); Copper; Chemistry; Leaching (pedology); Sucrose; Pulp and paper industry; Food science; Waste management; Environmental science; Biochemistry; 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":[0.0003584843,0.0001136742,0.0001535764,0.0004355858,0.0001496282,0.00002975071,0.0004122282,0.0001163438,0.0002603925],"category_scores_gemma":[0.00001960711,0.00007995483,0.00002478095,0.0005473464,0.0004211201,0.0002457336,0.00004737077,0.0001965392,0.0001097212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003663965,"about_ca_system_score_gemma":0.000009456358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000195933,"about_ca_topic_score_gemma":0.000006730776,"domain_scores_codex":[0.9989969,0.00001076061,0.0002173666,0.0002297017,0.0001660232,0.0003793064],"domain_scores_gemma":[0.9996505,0.000007789343,0.00001704075,0.0002557088,0.00002286407,0.00004608682],"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":[0.000001982062,0.000009329925,0.000466145,0.000005522961,0.000003474825,0.00000182694,0.000271838,0.0004435192,0.9434168,0.0001481284,0.0002938716,0.05493756],"study_design_scores_gemma":[0.00008681953,0.00004276901,0.00007717928,0.00001896816,0.000003260722,0.0000228532,0.0001716563,0.00218621,0.9357623,0.000126507,0.06136064,0.0001408373],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9801626,0.0002491566,0.0003875577,0.0003233164,0.0001818817,0.00005007548,0.000002125499,0.0004457499,0.01819753],"genre_scores_gemma":[0.9975924,0.00005192493,0.001338973,0.00005435713,0.00001441615,0.000004063294,0.000001918335,0.00001116623,0.000930802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06106677,"threshold_uncertainty_score":0.3260463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006768536589500249,"score_gpt":0.2166521757434504,"score_spread":0.2098836391539501,"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."}}