{"id":"W3111779940","doi":"10.3390/microorganisms8122027","title":"Processing of Metals and Metalloids by Actinobacteria: Cell Resistance Mechanisms and Synthesis of Metal(loid)-Based Nanostructures","year":2020,"lang":"en","type":"review","venue":"Microorganisms","topic":"Chromium effects and bioremediation","field":"Environmental Science","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Ministero dell’Istruzione, dell’Università e della Ricerca; L'Oreal USA","keywords":"Actinobacteria; Bioremediation; Metalloid; Bioaccumulation; Environmental chemistry; Biosorption; Biomineralization; Biotransformation; Extracellular polymeric substance; Metal toxicity; Chemistry; Metal; Ecology; Biology; Contamination; Bacteria; Heavy metals; Biofilm; Astrobiology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003441422,0.0004536035,0.001607573,0.00006272802,0.00007888925,0.00004867712,0.0002711709,0.000273544,0.0001414471],"category_scores_gemma":[0.0001050597,0.0003418787,0.000177153,0.0003203568,0.0002839475,0.0001246225,0.0002025165,0.0001593283,0.000005708212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007888676,"about_ca_system_score_gemma":0.00006599129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003767201,"about_ca_topic_score_gemma":0.00001504364,"domain_scores_codex":[0.9979904,0.0001839304,0.0006798716,0.0006194353,0.0003071155,0.0002192321],"domain_scores_gemma":[0.9984252,0.0002137273,0.0009929418,0.0002454436,0.0000137951,0.0001089353],"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":[0.00001630592,0.00004413493,0.00000140324,0.007683758,0.00006127196,0.00000275917,0.00006234905,1.435845e-7,0.8675051,0.000004483748,0.0001088945,0.1245094],"study_design_scores_gemma":[0.0002570316,0.00007873239,0.00001451706,0.0008791339,0.001458669,0.000007085586,0.00001889092,0.000003499752,0.8371515,0.00004058156,0.1597415,0.0003487849],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003308564,0.9947659,0.000276911,0.00003730599,0.00007752718,0.0007399414,0.0005915593,0.00002946502,0.0001728436],"genre_scores_gemma":[0.05119615,0.9348233,0.01342371,0.00005314087,0.00003241585,0.00003906004,0.0001258442,0.0001165633,0.0001897987],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.1596327,"threshold_uncertainty_score":0.9999033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006379098576545303,"score_gpt":0.2129649115728677,"score_spread":0.2065858129963224,"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."}}