{"id":"W2149302950","doi":"10.1002/jctb.830","title":"Bioleaching of copper and other metals from low‐grade oxidized mining ores by <i>Aspergillus niger</i>","year":2003,"lang":"en","type":"article","venue":"Journal of Chemical Technology & Biotechnology","topic":"Metal Extraction and Bioleaching","field":"Engineering","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Concordia University","keywords":"Bioleaching; Aspergillus niger; Copper; Copper ore; Leaching (pedology); Chemistry; Metallurgy; Sulfuric acid; Residue (chemistry); Pulp and paper industry; Environmental chemistry; Environmental science; Materials science; Food science","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":[0.0003599871,0.000281061,0.000789555,0.0005391134,0.00003987112,0.0000140553,0.0003771436,0.001258372,0.00005206772],"category_scores_gemma":[0.0004856176,0.0002318495,0.0001338713,0.0004521821,0.0004794495,0.0001021844,0.00006524059,0.001178996,0.00000426213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006349898,"about_ca_system_score_gemma":0.00002174693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008016025,"about_ca_topic_score_gemma":0.000001489397,"domain_scores_codex":[0.9983445,0.00005176344,0.0008452459,0.0002412733,0.0001711049,0.0003460815],"domain_scores_gemma":[0.9990675,0.0001418515,0.0003732742,0.0002824512,0.00004891255,0.00008598487],"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":[0.00002025519,0.00005507069,0.0002236354,0.00001963592,0.0002273849,0.00001224202,0.00002899269,0.0000131119,0.99047,0.001328241,0.0007582367,0.006843205],"study_design_scores_gemma":[0.0007604936,0.00009247228,0.000002800532,0.00008697666,0.00006461893,0.0002553743,0.0002328077,0.000193156,0.9448365,0.001541505,0.05172233,0.0002109621],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878089,0.008348566,0.001982065,0.0008200594,0.0002862333,0.00007806439,0.00001936912,0.0002749189,0.0003817925],"genre_scores_gemma":[0.9863074,0.0006211164,0.01283576,0.0001414884,0.00003264118,0.000002741045,0.000001974678,0.00004082788,0.00001599286],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05096409,"threshold_uncertainty_score":0.9705719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007857863559501804,"score_gpt":0.2221125662700289,"score_spread":0.2142547027105271,"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."}}