{"id":"W2117715191","doi":"10.1128/aem.70.12.7342-7347.2004","title":"In Vivo <sup>31</sup> P Nuclear Magnetic Resonance Investigation of Tellurite Toxicity in <i>Escherichia coli</i>","year":2004,"lang":"en","type":"article","venue":"Applied and Environmental Microbiology","topic":"Trace Elements in Health","field":"Nursing","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Fondation pour la Recherche Médicale; University of Calgary","keywords":"Escherichia coli; Glycolysis; Intracellular; Nuclear magnetic resonance spectroscopy; Intracellular pH; Enterobacteriaceae; Plasmid; Transmembrane protein; Biochemistry; In vivo; Selenium; Chemistry; Biology; Biophysics; Metabolism; Stereochemistry; DNA; Gene; Organic chemistry","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":[0.000147467,0.0001587344,0.0002432498,0.00007868052,0.00004562583,0.000004422842,0.0001054776,0.0001662367,0.00008128933],"category_scores_gemma":[0.000003357303,0.0001762928,0.00001806957,0.0001104476,0.0003935767,0.00005695744,0.00006848604,0.0002241822,0.00002193957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002243584,"about_ca_system_score_gemma":0.00001005703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002115279,"about_ca_topic_score_gemma":0.00009161417,"domain_scores_codex":[0.9988559,0.00005331375,0.0003795641,0.0003467668,0.00004195653,0.0003224806],"domain_scores_gemma":[0.9996725,0.00003886244,0.00008156368,0.0001541305,9.898096e-7,0.0000519562],"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":[0.0001301449,0.0001341933,0.01557802,0.00003313399,0.000001735247,0.00000274774,0.001778567,0.0002632789,0.9806535,0.0002233674,0.00009909596,0.001102282],"study_design_scores_gemma":[0.00795516,0.001094048,0.2425979,0.0001474528,0.0000233526,0.00004457567,0.002063716,0.0001315218,0.7121316,0.003595599,0.0295135,0.0007015145],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982458,0.0005357933,0.000002102485,0.0004623024,0.00006093327,0.0004280126,0.00005882879,0.0000130669,0.0001931069],"genre_scores_gemma":[0.9960891,0.000146965,0.001772274,0.001890902,0.00002348043,0.00001708673,0.00002281216,0.0000212799,0.00001610043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2685218,"threshold_uncertainty_score":0.7189013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005541133258743564,"score_gpt":0.1942640647740635,"score_spread":0.1887229315153199,"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."}}