{"id":"W2065304757","doi":"10.1007/s00775-007-0336-5","title":"A possible molecular link between the toxicological effects of arsenic, selenium and methylmercury: methylmercury(II) seleno bis(S-glutathionyl) arsenic(III)","year":2008,"lang":"en","type":"article","venue":"JBIC Journal of Biological Inorganic Chemistry","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":39,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary; University of Saskatchewan","funders":"Biological and Environmental Research; Basic Energy Sciences; National Center for Research Resources; Canadian Institutes of Health Research; National Institute for Health and Care Research; National Institutes of Health; University of Calgary; U.S. Department of Energy","keywords":"Chemistry; Methylmercury; Arsenic; Selenium; Electrospray ionization; Arsenite; Environmental chemistry; Mass spectrometry; Aqueous solution; Inorganic chemistry; Organic chemistry; Chromatography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002426126,0.0003529625,0.0001836861,0.0003870523,0.0002672419,0.0003360919,0.0005621355,0.0009424301,0.003750636],"category_scores_gemma":[0.0002662381,0.0002327164,0.0003413261,0.0002446614,0.0003084569,0.0005089076,0.0002722379,0.0002942659,0.0005929738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004062736,"about_ca_system_score_gemma":0.0003720529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001200642,"about_ca_topic_score_gemma":0.001107345,"domain_scores_codex":[0.9999344,0.00001408595,0.000005812439,0.00001827822,0.00001251587,0.00001483784],"domain_scores_gemma":[0.999845,0.00003581523,0.00003891504,0.00001365061,0.00003919506,0.00002740293],"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":[0.0006857716,0.00007279166,0.002200531,0.0001981993,0.0000535068,0.0007088989,0.00007539144,0.000203143,0.9892409,0.002895791,0.0001136333,0.00355133],"study_design_scores_gemma":[0.00008141986,0.001451005,0.02279854,0.00002484014,0.000159086,0.001526491,0.0001825846,0.001063801,0.9630411,0.002723214,0.006931717,0.00001617675],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9774463,0.005557769,0.009041373,0.001354119,0.0001613406,0.00005481407,0.0005125694,0.0002347743,0.005636934],"genre_scores_gemma":[0.9858225,0.002055315,0.002922015,0.0002081627,0.00003835113,0.0000357129,0.0005631681,0.00001007898,0.008344815],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003750636,"threshold_uncertainty_score":0.01254708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01899147853204463,"score_gpt":0.2547284735935776,"score_spread":0.235736995061533,"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."}}