{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001453256,0.0002169839,0.0002240213,0.0001822218,0.0001682138,0.0003324521,0.0002546449,0.0003318796,0.0005827486],"category_scores_gemma":[0.0002217623,0.0001261856,0.0002514099,0.0001250707,0.0001405519,0.0002123372,0.0001620209,0.0002075375,0.0001734621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002181819,"about_ca_system_score_gemma":0.000198318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002987765,"about_ca_topic_score_gemma":0.003544421,"domain_scores_codex":[0.9998748,0.00001723864,0.00001483496,0.00002240929,0.00003480955,0.00003594413],"domain_scores_gemma":[0.999923,0.00001607856,0.00001143475,0.000006185079,0.00003136755,0.00001193553],"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":[0.0003708386,0.00004426051,0.001080698,0.00005768629,0.00001297537,0.0000453395,0.00003491717,0.0005628836,0.9949635,0.00005748425,0.00005248576,0.002717015],"study_design_scores_gemma":[0.000007675294,0.0002120046,0.002553444,0.00000407263,0.00001787936,0.00003187848,0.0000538297,0.004649897,0.9918623,0.00003023189,0.0005703528,0.000006389921],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989656,0.0001340172,0.0004903331,0.00001502077,0.00001038656,0.000003345258,0.00005693942,0.00001898315,0.0003053198],"genre_scores_gemma":[0.998314,0.0001184584,0.0005301444,0.00001304606,0.000002951898,0.000002890191,0.00008429975,0.000005429604,0.0009287085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002987765,"threshold_uncertainty_score":0.005940735,"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."}}