{"id":"W1967693726","doi":"10.1073/pnas.0900238106","title":"Biotransformation of arsenic by a Yellowstone thermoacidophilic eukaryotic alga","year":2009,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":299,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Institute of Allergy and Infectious Diseases; National Institute of General Medical Sciences; Montana Agricultural Experiment Station; National Aeronautics and Space Administration; National Science Foundation; National Institutes of Health; Alberta Water Research Institute","keywords":"Arsenic; Arsenite; Arsenate; Archaea; Biotransformation; Microorganism; Environmental chemistry; Bacteria; Chemistry; Biology; Microbiology; Biochemistry; Enzyme; Genetics","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":[0.0007360894,0.00007012211,0.0001043818,0.00006738614,0.0001007918,0.000005732278,0.0004211951,0.00005483814,0.000104436],"category_scores_gemma":[0.0001006941,0.00004973511,0.00006261291,0.0006219808,0.0008857979,0.0005254677,0.00003719623,0.00007543573,0.000004786499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004396891,"about_ca_system_score_gemma":0.000009070719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008285287,"about_ca_topic_score_gemma":9.986504e-8,"domain_scores_codex":[0.9985126,0.000006315428,0.0003246848,0.0001441815,0.0009100242,0.0001022001],"domain_scores_gemma":[0.9995191,0.00003523528,0.000368502,0.000007709901,0.00004449338,0.00002503012],"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":[0.000006157151,0.00005294785,0.001126238,0.00001014701,0.000003322769,8.727263e-10,0.0005746553,0.00005961564,0.9789416,0.01320378,0.0007642101,0.00525738],"study_design_scores_gemma":[0.0002311863,0.0000854653,0.188008,0.0000425911,0.00001210443,0.000004012224,0.0002875878,0.002590952,0.7798444,0.02850996,0.0002991621,0.00008458576],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9594932,0.00003689805,0.000009476899,0.002804901,0.000007667717,0.000175177,0.000007229437,0.000008273348,0.03745722],"genre_scores_gemma":[0.9989271,0.00002761273,0.0004879761,0.000286663,0.000008155719,0.0000023309,3.000282e-7,0.000001707286,0.0002581242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1990971,"threshold_uncertainty_score":0.3263759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01593570503808403,"score_gpt":0.2557949378968738,"score_spread":0.2398592328587898,"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."}}