{"id":"W2145535157","doi":"","title":"EFFECTS OF WOOD SPECIES AND RETENTION LEVELS ON REMOVAL OF COPPER, CHROMIUM AND ARSENIC FROM OUT-OF SERVICE CCA TREATED WOOD USING CALCIUM HYPOCHLORITE","year":2013,"lang":"en","type":"article","venue":"International Conference \"Wood Science and Engineering in the Third Millennium\", Braşov, Romania, 7-9 November 2013.","topic":"Chromium effects and bioremediation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chromated copper arsenate; Arsenic; Waste management; Incineration; Pulp and paper industry; Environmental science; Environmental remediation; Preservative; Hazardous waste; Chemistry; Contamination; Engineering; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002461098,0.0004304444,0.0003907135,0.0002921233,0.0001940695,0.0004463413,0.000296277,0.000261712,0.000906017],"category_scores_gemma":[0.0003010107,0.0002255593,0.0004758657,0.0002543091,0.0001718258,0.0003478632,0.0002431172,0.0004418631,0.0002786902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002158179,"about_ca_system_score_gemma":0.0003288362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00337632,"about_ca_topic_score_gemma":0.007439357,"domain_scores_codex":[0.9997514,0.0000326494,0.00002214827,0.00005277239,0.00007539655,0.00006557667],"domain_scores_gemma":[0.9996706,0.00005453322,0.00008963262,0.00001651028,0.0001167698,0.00005192611],"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":[0.0004924157,0.0001925393,0.0005933222,0.0001540758,0.00001948614,0.00005156062,0.00007748423,0.0002257219,0.9954166,0.00002177419,0.00003991591,0.002715069],"study_design_scores_gemma":[0.00001553013,0.002301164,0.006871795,0.0000149762,0.00006135775,0.00004237234,0.000128177,0.0008901176,0.9887331,0.00001737011,0.0009048401,0.00001914875],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986773,0.0004452299,0.0002743916,0.00001655969,0.00001391235,0.0000157334,0.00006340064,0.00001417173,0.0004792949],"genre_scores_gemma":[0.9959375,0.001013706,0.0008424232,0.00004875034,0.000006860292,0.00001917821,0.0001246862,0.00001697182,0.001989928],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00337632,"threshold_uncertainty_score":0.00671339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02791596368603627,"score_gpt":0.2329717214318422,"score_spread":0.205055757745806,"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."}}