{"id":"W4322617222","doi":"10.1128/aem.02175-22","title":"Microbial Reduction of Antimony(V)-Bearing Ferrihydrite by Geobacter sulfurreducens","year":2023,"lang":"en","type":"article","venue":"Applied and Environmental Microbiology","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"European Research Council; Biotechnology and Biological Sciences Research Council; Engineering and Physical Sciences Research Council; Natural Environment Research Council; UK Catalysis Hub; European Commission; Sight Research UK; UK Research and Innovation","keywords":"Ferrihydrite; Antimony; Geobacter sulfurreducens; Arsenic; Geobacter; Chemistry; Goethite; Metalloid; Arsenate; Desulfovibrio; Redox; Arsenite; Environmental chemistry; Inorganic chemistry; Metal; Biofilm; Adsorption; Bacteria","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001724913,0.0002689625,0.0001696757,0.0001262237,0.000122883,0.0003147472,0.0001822578,0.000234122,0.0002166783],"category_scores_gemma":[0.000192242,0.00006090741,0.0002461821,0.0001029528,0.0001460996,0.0001626291,0.0003157751,0.0001741349,0.0001259536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000198132,"about_ca_system_score_gemma":0.0002657353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004783092,"about_ca_topic_score_gemma":0.00454666,"domain_scores_codex":[0.9998344,0.00003409182,0.00001094468,0.00002300031,0.00005134009,0.00004611366],"domain_scores_gemma":[0.9999527,0.000007975369,0.000007694916,0.00000614299,0.00001572719,0.000009691589],"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":[0.00004241377,0.00003360589,0.001364865,0.00002739445,0.000006828706,0.00005354587,0.00003890963,0.0000958532,0.9960735,0.00009425075,0.00004117338,0.002127609],"study_design_scores_gemma":[0.000009925313,0.0005051859,0.01028986,0.000008209968,0.00001532879,0.0001839512,0.000275946,0.002099541,0.9847893,0.0001455335,0.001670339,0.000006769727],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985061,0.0001466398,0.0005996352,0.00006668595,0.000009374367,0.000009017115,0.0000447669,0.00002084747,0.0005967764],"genre_scores_gemma":[0.9984958,0.0001116486,0.0007419825,0.00002521967,0.000001872002,0.000003417772,0.00009315696,0.000003252167,0.0005235691],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004783092,"threshold_uncertainty_score":0.009510517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004193421885029423,"score_gpt":0.1766373249980038,"score_spread":0.1724439031129744,"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."}}