{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001087867,0.00006104223,0.00006727792,0.00003008843,0.00002963852,0.000007568541,0.00001564263,0.00002471056,0.00002573234],"category_scores_gemma":[0.000002886442,0.00005807724,0.0000182571,0.00002001188,0.00001402231,0.00008332753,0.000004701114,0.00007052081,0.000002569891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000482529,"about_ca_system_score_gemma":0.000001779723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001536612,"about_ca_topic_score_gemma":7.242745e-8,"domain_scores_codex":[0.9996379,0.00002014196,0.0001091658,0.0000652064,0.0001043497,0.00006323324],"domain_scores_gemma":[0.9998869,0.00001481075,0.00002387392,0.00004432453,0.000001079169,0.00002902394],"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":[9.450486e-7,0.0000506778,0.07942282,0.00002160608,0.00003037129,7.251198e-7,0.00008687834,0.0004254346,0.87046,0.0005289488,0.000003798189,0.04896777],"study_design_scores_gemma":[0.000323353,0.00005075533,0.4767253,0.00001717029,0.00002245937,0.000004179766,0.0006943401,0.001542241,0.5155323,0.00004611135,0.004905973,0.0001357608],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949067,0.0002946172,0.001512455,0.000003704224,0.0004436938,0.00004859153,0.00000211672,0.00002556779,0.002762617],"genre_scores_gemma":[0.9974704,0.000279961,0.002140822,9.777065e-7,0.00003576854,0.000005337634,0.000004400006,0.00000661891,0.00005567289],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3973025,"threshold_uncertainty_score":0.2368321,"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."}}