{"id":"W2094748196","doi":"10.1016/j.wasman.2007.03.009","title":"Leaching of heavy metals from chromated copper arsenate (CCA) treated wood after disposal","year":2007,"lang":"en","type":"article","venue":"Waste Management","topic":"Recycling and utilization of industrial and municipal waste in materials production","field":"Engineering","cited_by":68,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"Concordia University; U.S. Consumer Product Safety Commission","keywords":"Chromated copper arsenate; Leaching (pedology); Arsenic; Nitric acid; Sulfuric acid; Chemistry; Chromium; Leachate; Environmental chemistry; Copper; Metallurgy; Incineration; Pulp and paper industry; Waste management; Environmental science; Inorganic chemistry; Soil water; Materials science","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":[],"consensus_categories":[],"category_scores_codex":[0.0003728866,0.0001834776,0.0002587315,0.0001480662,0.00004634128,0.00003740055,0.0001191457,0.00008571291,0.0001075427],"category_scores_gemma":[0.000008648423,0.0001636872,0.00007011294,0.0001928125,0.00002701937,0.0001025679,0.00005290237,0.00008680917,0.00003353585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003992691,"about_ca_system_score_gemma":0.000002005557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001070117,"about_ca_topic_score_gemma":0.00001786397,"domain_scores_codex":[0.998844,0.00003739407,0.0004729051,0.0002095909,0.0001846466,0.0002514062],"domain_scores_gemma":[0.99955,0.00002028077,0.00007026239,0.0002723729,0.00002782654,0.00005918584],"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":[0.002461661,0.0007241029,0.001329052,0.001339765,0.00349379,0.0002302336,0.00250887,0.4113341,0.4193244,0.002276382,0.008563625,0.146414],"study_design_scores_gemma":[0.002967455,0.0001915618,0.006312046,0.0007921754,0.0005374353,0.000004982247,0.002339686,0.019502,0.9321892,0.0003976835,0.0337961,0.0009696963],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888075,0.0002780657,0.001411605,0.00003709847,0.001234005,0.0002526744,0.00002427409,0.0002325343,0.007722242],"genre_scores_gemma":[0.9979954,0.0001430505,0.0005865994,0.0000182089,0.0002503207,0.00001255335,0.00007736136,0.00003373336,0.0008828095],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5128648,"threshold_uncertainty_score":0.6674973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0145340980301246,"score_gpt":0.2316555730924532,"score_spread":0.2171214750623286,"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."}}