{"id":"W3127735170","doi":"10.1016/j.scitotenv.2020.144920","title":"Mineralogical controls on arsenite adsorption onto soils: Batch experiments and model-based quantification","year":2021,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Adsorption; Soil water; Clay minerals; Illite; Arsenite; Chemistry; Environmental chemistry; Arsenic; Mineralogy; Soil science; Environmental science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007581114,0.0004612084,0.000446369,0.0002461777,0.0004335153,0.0006521912,0.0004842643,0.0006163354,0.0005760224],"category_scores_gemma":[0.0008104259,0.000273478,0.0005742112,0.0002249065,0.0004551022,0.0003682988,0.0003164647,0.000466802,0.0001548426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001535096,"about_ca_system_score_gemma":0.0007535129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02130884,"about_ca_topic_score_gemma":0.01901239,"domain_scores_codex":[0.9995137,0.0000995239,0.00004543913,0.0001156801,0.0001647589,0.00006090955],"domain_scores_gemma":[0.9996814,0.0001647787,0.0000338894,0.00003947175,0.00006700011,0.00001364914],"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":[0.0007430536,0.0001900548,0.001795082,0.0001177988,0.00004617737,0.00002837392,0.00006151703,0.005378196,0.9872843,0.0001733732,0.0001351835,0.0040471],"study_design_scores_gemma":[0.00005484801,0.0008081889,0.004990093,0.000005792383,0.00005046585,0.00004242103,0.00006699649,0.0216478,0.9712421,0.0001734933,0.0008848965,0.00003285269],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952816,0.0003134581,0.003050913,0.00007292753,0.00002573171,0.00005304433,0.0004280467,0.00005066239,0.0007234732],"genre_scores_gemma":[0.9968066,0.0003853097,0.002024232,0.00002238642,0.000007171348,0.00003739928,0.000170113,0.000009712831,0.0005371952],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02130884,"threshold_uncertainty_score":0.0423696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02022060056825458,"score_gpt":0.2405176289811604,"score_spread":0.2202970284129058,"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."}}