{"id":"W2914598599","doi":"10.1007/s11356-019-04381-1","title":"Removal efficiency of As(V) and Sb(III) in contaminated neutral drainage by Fe-loaded biochar","year":2019,"lang":"en","type":"article","venue":"Environmental Science and Pollution Research","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre Technologique des Résidus Industriels; Polytechnique Montréal; Université du Québec en Abitibi-Témiscamingue","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biochar; Sorption; Effluent; Chemistry; Contamination; By-product; Evaporation; Raw material; Environmental chemistry; Nuclear chemistry; Adsorption; Environmental engineering; Environmental science; Pyrolysis; Organic chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001986425,0.0001023074,0.0001212219,0.00017699,0.0002435188,0.00003579446,0.0002146222,0.00006629202,0.001084147],"category_scores_gemma":[0.00005599459,0.00009632993,0.0000166285,0.0006620972,0.002251854,0.0004389773,0.0003230147,0.0001868687,0.0002082457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003359304,"about_ca_system_score_gemma":0.00003439153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001005234,"about_ca_topic_score_gemma":0.00004394564,"domain_scores_codex":[0.9979375,0.0001202839,0.0002123953,0.0004574562,0.0008523587,0.0004200218],"domain_scores_gemma":[0.9995677,0.00004479344,0.00005523025,0.0001649154,0.000007056823,0.0001602851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00002506351,0.00008037828,0.007432276,0.000004224275,9.184466e-7,0.000004349532,0.00116857,0.000008480945,0.9791445,0.0006196139,0.000107684,0.01140401],"study_design_scores_gemma":[0.002249862,0.0006276341,0.520447,0.00003938057,0.000004445121,0.00005986445,0.005951889,0.003726321,0.4610687,0.0005824203,0.004909294,0.0003332531],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905379,0.0001379964,0.00001477709,0.000490172,0.00003884546,0.000454914,0.00001074166,0.000007855839,0.008306826],"genre_scores_gemma":[0.9969189,0.0000923961,0.00002977234,0.0001181691,0.000004695159,0.000008539712,0.000006129068,0.000005153273,0.00281629],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5180757,"threshold_uncertainty_score":0.999829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009532533158284314,"score_gpt":0.2711232127711821,"score_spread":0.2615906796128977,"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."}}