{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001201461,0.0001170037,0.00008878497,0.0002326325,0.0002139325,0.00002900403,0.0004468556,0.0000771007,0.0001180781],"category_scores_gemma":[0.00003331772,0.0001023711,0.00001571481,0.0004459434,0.0005675699,0.0002616423,0.0001972856,0.0002746299,0.0002687579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009070125,"about_ca_system_score_gemma":0.000007717378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001027204,"about_ca_topic_score_gemma":0.00001260604,"domain_scores_codex":[0.9991664,0.000003500358,0.00009847043,0.0002381213,0.0001632427,0.0003302289],"domain_scores_gemma":[0.9996426,0.000009391409,0.00001469453,0.0002579619,0.000002351995,0.00007299787],"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":[0.000001541793,0.00001753452,0.004903022,0.000001084574,0.000002912636,0.000001964496,0.0004758715,0.0001837943,0.9804758,0.0003538402,0.00008201194,0.01350058],"study_design_scores_gemma":[0.0001125034,0.000102263,0.007145706,0.000005405142,0.000003844759,0.00001268067,0.0004349657,0.0004655894,0.9798046,0.0004500022,0.01129776,0.000164698],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931987,0.00005644641,0.0001126572,0.0007388946,0.0002167732,0.0001630195,0.000003244126,0.0003643283,0.005145966],"genre_scores_gemma":[0.9961073,0.000006833478,0.003462165,0.00003755068,0.00002418071,0.00004412308,0.000001168687,0.00001371026,0.0003029617],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01333588,"threshold_uncertainty_score":0.4174573,"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."}}