{"id":"W2010823281","doi":"10.1504/ijetm.2008.017859","title":"Biofiltration of hydrophobic VOCs pretreated with UV photolysis and photocatalysis","year":2008,"lang":"en","type":"article","venue":"International Journal of Environmental Technology and Management","topic":"Odor and Emission Control Technologies","field":"Chemical Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Biofilter; Chemistry; Photocatalysis; Photodissociation; Environmental chemistry; Volatile organic compound; Ultraviolet; Degradation (telecommunications); Photochemistry; Environmental engineering; Organic chemistry; Environmental science; Materials science; Catalysis","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0000457254,0.00009398664,0.0001631636,0.0004298036,0.00003027995,0.000004236745,0.0001716388,0.00007894958,0.00004299038],"category_scores_gemma":[0.000007917997,0.00007244237,0.00003447099,0.0001123569,0.0002376378,0.00009095622,0.0001031239,0.0001118638,0.000001144205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003625637,"about_ca_system_score_gemma":0.00000210981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002010735,"about_ca_topic_score_gemma":4.870405e-7,"domain_scores_codex":[0.9993791,0.000004289916,0.0002409485,0.0001120925,0.0001874024,0.00007616252],"domain_scores_gemma":[0.9996843,0.00001425562,0.0001689203,0.00009295945,0.00001459582,0.000024919],"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":[0.0004039705,0.0003571323,0.0557164,0.00004113208,0.001670101,0.0004387589,0.00015738,0.0003313795,0.9058978,0.001390095,0.00006129585,0.03353456],"study_design_scores_gemma":[0.003162234,0.0005365012,0.01655123,0.0001437886,0.0002833874,0.001082971,0.000876143,0.001956344,0.9727096,0.001057113,0.001380764,0.0002599237],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971589,0.0004388344,0.001644825,0.0002995123,0.00003117732,0.00007579847,0.000005830306,0.0000280895,0.000317054],"genre_scores_gemma":[0.9955091,0.002432822,0.001860693,0.00001676857,0.000008604149,0.000006106181,0.000002993927,0.000006461335,0.0001563959],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0668118,"threshold_uncertainty_score":0.2954114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004332478592110603,"score_gpt":0.1880213844176505,"score_spread":0.1836889058255399,"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."}}