{"id":"W166868495","doi":"10.1023/a:1022874727526","title":"Bioremediation of Metal Contamination","year":2003,"lang":"en","type":"article","venue":"Environmental Monitoring and Assessment","topic":"Metal Extraction and Bioleaching","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; Concordia University","funders":"Natural Resources Canada","keywords":"Tailings; Bioleaching; Aspergillus niger; Leaching (pedology); Chemistry; Copper; Citric acid; Sucrose; Pulp and paper industry; Environmental chemistry; Waste management; Food science; Environmental science; Soil water","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":[0.0004818653,0.0004905036,0.0005195378,0.0006587976,0.0004273714,0.0007967698,0.0005893815,0.0005783105,0.0007790623],"category_scores_gemma":[0.0004513586,0.0001761598,0.0003053047,0.0003671563,0.0002971593,0.000358404,0.000614549,0.000436864,0.0005203268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004899519,"about_ca_system_score_gemma":0.0005197394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002233323,"about_ca_topic_score_gemma":0.003744245,"domain_scores_codex":[0.9995099,0.0001084862,0.00002561803,0.0001022695,0.0001616753,0.00009206176],"domain_scores_gemma":[0.9998283,0.00002575219,0.00003218729,0.00001862445,0.00006887379,0.00002612659],"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":[0.0001153977,0.00005158793,0.0003100198,0.00006280906,0.000006862907,0.0000418233,0.00002630475,0.0001928703,0.9833313,0.0001025911,0.0000892966,0.01566917],"study_design_scores_gemma":[0.000003003811,0.0001360207,0.0004811707,0.000005928439,0.000007998704,0.00006219523,0.00001484749,0.0003471606,0.9973409,0.00004145166,0.001556534,0.000002837512],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9483841,0.00697957,0.03626037,0.0005516873,0.00009676168,0.0001111033,0.0002886886,0.0004538134,0.006873911],"genre_scores_gemma":[0.9620082,0.00441132,0.02037789,0.0002615009,0.00002382048,0.00005720167,0.0004105374,0.00006904242,0.01238038],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002233323,"threshold_uncertainty_score":0.004440665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01004469437678825,"score_gpt":0.2394514722432162,"score_spread":0.229406777866428,"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."}}