{"id":"W3120636418","doi":"10.1002/cjce.24027","title":"Effect of zero‐valent iron nanoparticles on the remediation of a clayish soil contaminated with γ‐hexachlorocyclohexane (lindane) in a bioelectrochemical slurry reactor","year":2021,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Environmental remediation with nanomaterials","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional","keywords":"Lindane; Chemistry; Environmental remediation; Zerovalent iron; Tonne; Pentachlorophenol; Slurry; Environmental chemistry; Soil contamination; Hexachlorocyclohexane; Soil water; Contamination; Environmental engineering; Environmental science; Pesticide; Soil science; Adsorption; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002658158,0.0003159808,0.0004019519,0.0001397541,0.0001383646,0.0003969674,0.0002453735,0.0003536971,0.0004239136],"category_scores_gemma":[0.000301019,0.0001574336,0.000289106,0.0001010705,0.000164943,0.0001967889,0.0002193557,0.0003593962,0.0001466248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000210675,"about_ca_system_score_gemma":0.000202861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001766013,"about_ca_topic_score_gemma":0.003020372,"domain_scores_codex":[0.9997478,0.00005424317,0.00002744923,0.00005701227,0.00008352829,0.00002998219],"domain_scores_gemma":[0.9997861,0.00005671694,0.00005519752,0.00001643367,0.00005063046,0.0000349832],"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":[0.000256253,0.00005128424,0.0002521251,0.00004817047,0.00001064115,0.00002529761,0.00001241231,0.0001412393,0.9981212,0.000005357672,0.000005221721,0.001070854],"study_design_scores_gemma":[0.000009951718,0.0009157166,0.001514377,0.000003735312,0.00001724977,0.00002487293,0.00002271909,0.0006058723,0.9966808,0.000003353407,0.0001980078,0.000003205646],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991407,0.0001437206,0.0004513454,0.00001211122,0.000005463595,0.00001153602,0.00002869192,0.00001295185,0.0001934844],"genre_scores_gemma":[0.9968737,0.0002073176,0.001981477,0.00001991355,0.000003158964,0.00001101321,0.00007112705,0.000006306939,0.0008259196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001766013,"threshold_uncertainty_score":0.003511488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003741070982613403,"score_gpt":0.1674659810408513,"score_spread":0.1637249100582379,"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."}}