{"id":"W1978609957","doi":"10.1080/09593330.2013.770560","title":"Counter-current acid leaching process for the removal of Cu, Pb, Sb and Zn from shooting range soil","year":2013,"lang":"en","type":"article","venue":"Environmental Technology","topic":"Coal and Its By-products","field":"Earth and Planetary Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Leaching (pedology); Environmental science; Environmental chemistry; Current (fluid); Waste management; Environmental engineering; Chemistry; Metallurgy; Materials science; Soil water; Soil science; Engineering; Electrical engineering","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":[0.0001942826,0.0003085304,0.0003323491,0.0002995144,0.0002807273,0.000282744,0.000431854,0.0002694496,0.0006291119],"category_scores_gemma":[0.0002421001,0.0001040854,0.0002225025,0.0002584614,0.0002084547,0.0004182425,0.0002976657,0.0002621376,0.0003164918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001983313,"about_ca_system_score_gemma":0.0002813068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001632442,"about_ca_topic_score_gemma":0.002978761,"domain_scores_codex":[0.9997966,0.00002525592,0.00001287219,0.00004638006,0.0001036186,0.00001537151],"domain_scores_gemma":[0.9998906,0.00002252296,0.00002523977,0.000009280157,0.00003847039,0.00001387887],"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":[0.00006841547,0.00003180989,0.000823328,0.0001057813,0.000007219696,0.00005585478,0.0000382562,0.0002414346,0.9852017,0.00003508578,0.0000361842,0.01335494],"study_design_scores_gemma":[0.000009737169,0.0002680243,0.001665374,0.000005289718,0.00001714114,0.0002490507,0.00004655699,0.001901167,0.9944406,0.00002501937,0.001365665,0.000006333124],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9709367,0.001205643,0.0265772,0.000067712,0.00002186995,0.00005316925,0.00006440588,0.0001581802,0.0009151932],"genre_scores_gemma":[0.9687167,0.001072259,0.0275682,0.00004725273,0.00001051653,0.00002738448,0.0001348428,0.00002784476,0.002394954],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001632442,"threshold_uncertainty_score":0.00324589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01258243043636243,"score_gpt":0.2022519066019057,"score_spread":0.1896694761655433,"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."}}