{"id":"W2123531144","doi":"10.1002/ep.670210317","title":"Removing volatile organic compound (VOC) emissions from a printed circuit board manufacturing facility using pilot‐ and commercial‐scale biofilters","year":2002,"lang":"en","type":"article","venue":"Environmental Progress","topic":"Odor and Emission Control Technologies","field":"Chemical Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Biorem Technologies (Canada)","funders":"","keywords":"Biofilter; Volatile organic compound; Waste management; Printed circuit board; Environmental science; Pulp and paper industry; Chemistry; Engineering; Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006592483,0.000292903,0.0003174146,0.00005887285,0.0002558581,0.00006314696,0.0002578641,0.0001596534,0.001581728],"category_scores_gemma":[0.00002732898,0.0002792456,0.0000694697,0.00005648725,0.000260758,0.0001700972,0.0003897843,0.0004095139,0.0000557247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002074643,"about_ca_system_score_gemma":0.000002837762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005851438,"about_ca_topic_score_gemma":0.000003737733,"domain_scores_codex":[0.9985207,0.0000323493,0.0003249091,0.0004812642,0.0002388062,0.0004019663],"domain_scores_gemma":[0.9992207,0.00008606276,0.00009169232,0.0004120669,0.000002675028,0.0001868399],"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":[0.0000284964,0.0002069163,0.04535131,0.00003431155,0.00006009375,0.00002412404,0.0003677216,0.00004542473,0.9017459,0.00000135216,0.00009655559,0.05203777],"study_design_scores_gemma":[0.002879541,0.0001567425,0.06853566,0.000309275,0.0001502591,0.00005140752,0.001133178,0.1021048,0.8173563,0.0002362179,0.00573531,0.001351274],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965299,0.0008966438,0.001372462,0.000172063,0.00009896346,0.0002587684,0.0001003714,0.0003827948,0.0001879756],"genre_scores_gemma":[0.9981634,0.00004474697,0.001441228,0.00003653942,0.00004887751,0.00001184816,0.00003083052,0.00003377043,0.0001887703],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1020594,"threshold_uncertainty_score":0.999966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03445262392327395,"score_gpt":0.2245452781557468,"score_spread":0.1900926542324728,"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."}}