{"id":"W4224294677","doi":"10.1021/acs.est.2c00255","title":"Electron Paramagnetic Resonance and Synchrotron X-ray Absorption Spectroscopy for Highly Sensitive Characterization of Calcium Arsenates.","year":2022,"lang":"en","type":"article","venue":"PubMed","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Light Source (Canada); University of Saskatchewan","funders":"Ministry of Science and Technology of the People's Republic of China; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Electron paramagnetic resonance; XANES; Arsenic; Arsenate; Characterization (materials science); Calcium; Analytical Chemistry (journal); Paramagnetism","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":[0.0005153826,0.0003748933,0.0002373848,0.0005907003,0.0002120917,0.0002532846,0.0002425851,0.0004301604,0.001675442],"category_scores_gemma":[0.0004937361,0.0001962298,0.0002117048,0.0003603449,0.0002398981,0.0003929589,0.0004795166,0.0006265691,0.0004014401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001881425,"about_ca_system_score_gemma":0.0002415218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003863928,"about_ca_topic_score_gemma":0.001348703,"domain_scores_codex":[0.9996672,0.00007879936,0.00001498688,0.00006826088,0.0001381099,0.00003267412],"domain_scores_gemma":[0.9998025,0.00004455608,0.00004200941,0.00003070937,0.00006332938,0.00001696088],"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":[0.00004427958,0.00002054697,0.0002910567,0.00008059678,0.0000125996,0.00003593665,0.0000243093,0.00008844365,0.9933051,0.0004790223,0.0002803377,0.005337702],"study_design_scores_gemma":[0.00001980236,0.000213573,0.004293474,0.0000163058,0.00002475883,0.0004326003,0.00006618822,0.003382328,0.9824713,0.0004567961,0.008606029,0.00001688736],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6333222,0.007178835,0.3392228,0.0009301489,0.000285479,0.0002861124,0.001203028,0.001262798,0.01630859],"genre_scores_gemma":[0.8448772,0.003116058,0.1405647,0.0002985966,0.00005161183,0.0002002031,0.0009026869,0.00008515255,0.009903822],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001675442,"threshold_uncertainty_score":0.005604982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00833998388645884,"score_gpt":0.2014758301365935,"score_spread":0.1931358462501347,"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."}}