{"id":"W2507872542","doi":"10.1007/s11270-016-3000-2","title":"Persulfate Interaction with Tropical Soils","year":2016,"lang":"en","type":"article","venue":"Water Air & Soil Pollution","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Persulfate; Dissolution; Kaolinite; Chemistry; Environmental remediation; Soil water; Environmental chemistry; Sodium persulfate; Gibbsite; Clay minerals; Inorganic chemistry; Mineralogy; Contamination; Nuclear chemistry; Geology; Soil science; Catalysis; Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00006736753,0.00009113664,0.00006419162,0.0000272311,0.0001030977,0.00001136041,0.00005978203,0.00004427534,0.001686971],"category_scores_gemma":[0.00000731758,0.00004634412,0.00003324043,0.0000482571,0.0001091251,0.0004370448,0.00004196108,0.0000476969,0.002222342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002578721,"about_ca_system_score_gemma":0.000005117475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001044394,"about_ca_topic_score_gemma":0.0002292026,"domain_scores_codex":[0.9992468,0.00004311949,0.0001206713,0.0002058322,0.0001872668,0.0001962865],"domain_scores_gemma":[0.9997637,0.000007078136,0.00003393097,0.0001239532,0.000008756793,0.0000625487],"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":[0.0003178887,0.0001553564,0.03331068,0.000006777387,0.00003098844,0.00001175288,0.003287325,0.0006772844,0.5777195,0.0007564561,0.003789965,0.379936],"study_design_scores_gemma":[0.002210404,0.0003296559,0.464925,0.00006487577,0.00003627121,0.00005482942,0.0003466374,0.001069026,0.4838692,0.0006903341,0.04598362,0.0004201197],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9763963,0.000001457012,0.009659664,0.006013033,0.0001335969,0.00009721702,0.000002186874,0.00006409553,0.007632426],"genre_scores_gemma":[0.9932598,0.000004546933,0.00009587648,0.000294549,0.00005535212,0.00001532385,0.000005336733,0.000008797811,0.006260374],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4316143,"threshold_uncertainty_score":0.9992256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00617817837025848,"score_gpt":0.1988620979401493,"score_spread":0.1926839195698908,"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."}}