{"id":"W2047209019","doi":"10.1021/es101138v","title":"Coatings To Reduce Wood Preservative Leaching","year":2010,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Resources Canada","keywords":"Chromated copper arsenate; Leaching (pedology); Preservative; Coating; Pulp and paper industry; Copper; Weathering; Materials science; Leachate; Metallurgy; Environmental science; Waste management; Composite material; Chemistry; Environmental chemistry; Soil water; Geology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0001672207,0.0003373078,0.0002278366,0.0002162185,0.0001378339,0.0002495269,0.0003248007,0.0002198682,0.0005860754],"category_scores_gemma":[0.0003272119,0.0001380206,0.0002487217,0.0001358476,0.0001398071,0.0001416945,0.000200582,0.0001991279,0.0001119321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000251576,"about_ca_system_score_gemma":0.0001966111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002504686,"about_ca_topic_score_gemma":0.005465707,"domain_scores_codex":[0.9997967,0.00002198604,0.00001497517,0.00002821078,0.0001070611,0.00003109439],"domain_scores_gemma":[0.9997949,0.00003149265,0.00007023809,0.00001357697,0.00006445932,0.00002536638],"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":[0.00003474644,0.00002310014,0.0006975626,0.00005433659,0.000007490063,0.00001519104,0.00001026069,0.0002569607,0.994372,0.00001522637,0.00001965077,0.004493468],"study_design_scores_gemma":[0.000005501111,0.0006666725,0.006947291,0.000005777195,0.00002497138,0.00009973273,0.00002086646,0.00131247,0.9902148,0.00001376447,0.0006838084,0.000004196555],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967656,0.0006146292,0.002187575,0.00001311866,0.000005961777,0.00001547537,0.00003450763,0.00004198875,0.0003210533],"genre_scores_gemma":[0.9931415,0.0006605402,0.004968729,0.00002035582,0.000003550506,0.000009316793,0.00008634973,0.00001601258,0.001093738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002504686,"threshold_uncertainty_score":0.004980266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006864382319287906,"score_gpt":0.2031091530850598,"score_spread":0.1962447707657719,"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."}}