{"id":"W1671230326","doi":"10.1063/1.2644489","title":"XAFS of Synthetic Iron(III)-Arsenate Co-Precipitates and Uranium Mill Neutralized Raffinate","year":2007,"lang":"en","type":"article","venue":"AIP conference proceedings","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Canadian Light Source (Canada); University of Guelph; University of Saskatchewan","funders":"Basic Energy Sciences; Natural Sciences and Engineering Research Council of Canada; Office of Science; U.S. Department of Energy","keywords":"Raffinate; Arsenate; Uranium; Arsenic; X-ray absorption fine structure; Chemistry; Nuclear chemistry; Jarosite; Precipitation; Metallurgy; Inorganic chemistry; Materials science; Extraction (chemistry); Chromatography; Spectroscopy","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":[0.0002343357,0.0003665006,0.0002523828,0.0004189666,0.0003415507,0.0001866442,0.0003225204,0.0003158293,0.001322113],"category_scores_gemma":[0.0003016065,0.0001784412,0.0002299535,0.0003415411,0.0002250794,0.0001579663,0.0001335087,0.0003159995,0.0002313379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000312651,"about_ca_system_score_gemma":0.0001960779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00204522,"about_ca_topic_score_gemma":0.003179924,"domain_scores_codex":[0.9997941,0.00002480447,0.000009872072,0.00004275435,0.00009074259,0.0000378428],"domain_scores_gemma":[0.9998597,0.00003500824,0.00002047227,0.00001400833,0.00005499267,0.00001587763],"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":[0.0001295662,0.000018783,0.0002337013,0.00003319957,0.00000779025,0.00004548983,0.00002794229,0.0002142037,0.9984415,0.00007729652,0.00004305318,0.0007274848],"study_design_scores_gemma":[0.000009524476,0.0001032277,0.002525329,0.000002661556,0.000004939679,0.00007927097,0.00003390285,0.0008658735,0.9954347,0.00003742711,0.0008988817,0.000004162483],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937387,0.0003252878,0.003590697,0.00003459672,0.0000151199,0.00004233413,0.0003302819,0.00006872549,0.001854305],"genre_scores_gemma":[0.9917818,0.0002914978,0.004269839,0.00002752054,0.000009802377,0.00003690168,0.000895253,0.00003586635,0.002651475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00204522,"threshold_uncertainty_score":0.004422963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01199249078122044,"score_gpt":0.2427821632030276,"score_spread":0.2307896724218071,"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."}}