{"id":"W4415274812","doi":"10.1016/j.coldregions.2025.104719","title":"Enhanced mercury removal from contaminated soils in cold regions via KI leaching and freeze-thaw cycle","year":2025,"lang":"en","type":"article","venue":"Cold Regions Science and Technology","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"High-end Foreign Experts Recruitment Plan of China; Natural Science Foundation of Shaanxi Province; National Natural Science Foundation of China","keywords":"Environmental remediation; Leaching (pedology); Mercury (programming language); Soil water; Contamination; Desorption; Soil contamination; Leaching model; Pollutant","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":[0.0001289037,0.0003577933,0.0002462129,0.0002060149,0.0001786917,0.0001885916,0.0002676558,0.0002411999,0.0005733499],"category_scores_gemma":[0.0001584489,0.0001522908,0.000293485,0.0001462633,0.0001959788,0.0002946261,0.0003111328,0.000345945,0.0001611464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002411903,"about_ca_system_score_gemma":0.0002132156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001604181,"about_ca_topic_score_gemma":0.003910893,"domain_scores_codex":[0.9999021,0.0000074994,0.000006939748,0.00002521445,0.00003781767,0.00002040916],"domain_scores_gemma":[0.9999471,0.000007630456,0.00001695224,0.00000467417,0.00001715911,0.000006514729],"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":[0.00006041049,0.00001874043,0.000623046,0.00009923551,0.00001147692,0.00004772819,0.00002474421,0.0002826099,0.9950221,0.00002824816,0.00004869708,0.003732978],"study_design_scores_gemma":[0.00000729177,0.0002116605,0.003959168,0.000006967537,0.00002406747,0.00009650739,0.00002999383,0.001027417,0.9936798,0.00003220122,0.0009162324,0.000008705692],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925653,0.0009722664,0.005334564,0.00005675294,0.00002228326,0.00002887929,0.000151065,0.00009816433,0.0007708524],"genre_scores_gemma":[0.9916561,0.001009327,0.005314303,0.00009066223,0.000008747156,0.00003407026,0.0001967843,0.00002805581,0.001661974],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001604181,"threshold_uncertainty_score":0.003189743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01463166330644455,"score_gpt":0.2394546865369794,"score_spread":0.2248230232305348,"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."}}