{"id":"W7045975959","doi":"","title":"Complex Interplay of Mercury and Arsenic with Sulfur and Selenium in Biological Systems","year":2023,"lang":"en","type":"dissertation","venue":"University Library (University of Saskatchewan)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"SLAC National Accelerator Laboratory; Basic Energy Sciences; National Institute of General Medical Sciences; Biological and Environmental Research; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Canada Research Chairs; Office of Science; National Institutes of Health; Canadian Light Source; U.S. Department of Energy","keywords":"Mercury (programming language); Arsenic; Selenium; Cinnabar; Methylmercury; Sulfur; X-ray absorption spectroscopy; Arsenite","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002716069,0.0002598775,0.0004223591,0.0002063164,0.0006729699,0.0006343745,0.0004642035,0.000507848,0.00165883],"category_scores_gemma":[0.0002757112,0.0002355289,0.0002892202,0.0002824646,0.0007568449,0.0007275087,0.001009389,0.0005571385,0.0002711905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005924736,"about_ca_system_score_gemma":0.0005177396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001401983,"about_ca_topic_score_gemma":0.001837076,"domain_scores_codex":[0.999793,0.00004743161,0.000009594921,0.0000404334,0.0000813419,0.00002819139],"domain_scores_gemma":[0.9999444,0.00002467922,0.000007482693,0.000007058198,0.00001052302,0.000005803114],"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":[0.0002202223,0.0001826972,0.006907041,0.002384683,0.0003233418,0.001837197,0.002145313,0.05058169,0.7718818,0.1260889,0.002683637,0.03476337],"study_design_scores_gemma":[0.0001237299,0.002061486,0.01753476,0.0002406267,0.000333498,0.002356785,0.00327059,0.1894758,0.5381801,0.1241558,0.1220116,0.0002552413],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9469233,0.008151066,0.02873076,0.001575073,0.0001431401,0.00007668132,0.000289002,0.0002942769,0.01381671],"genre_scores_gemma":[0.9838834,0.004748991,0.008118567,0.0001859711,0.00002259871,0.00005903758,0.0002395235,0.00003002962,0.002711812],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00165883,"threshold_uncertainty_score":0.005549312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01039917816676647,"score_gpt":0.1998251298737556,"score_spread":0.1894259517069891,"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."}}