{"id":"W1977650776","doi":"10.1080/10934520801893675","title":"Humic substances in bioremediation of industrial wastewater—Mitigation of inhibition of activated sludge caused by phenol and formaldehyde","year":2008,"lang":"en","type":"article","venue":"Journal of Environmental Science and Health Part A","topic":"Water Quality Monitoring and Analysis","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Celiac Association; Conestoga College","funders":"","keywords":"Bioremediation; Activated sludge; Respirometry; Phenol; Chemistry; Formaldehyde; Wastewater; Environmental chemistry; Biomass (ecology); Industrial wastewater treatment; Activated carbon; Sewage treatment; Humic acid; Pollutant; Biodegradation; Pulp and paper industry; Waste management; Contamination; Environmental science; Environmental engineering; Organic chemistry; Biology; Ecology; Adsorption","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":[0.001179524,0.00006810782,0.000226211,0.0001143962,0.00009533182,0.000004194406,0.00006808855,0.00003975673,0.00001984658],"category_scores_gemma":[0.00001755629,0.00005566581,0.00002345307,0.0002933375,0.0007121738,0.0005402586,0.00003719168,0.00009025152,3.670801e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001685712,"about_ca_system_score_gemma":0.00003648479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002698152,"about_ca_topic_score_gemma":0.00001245738,"domain_scores_codex":[0.9985154,0.00005625924,0.0006065262,0.0001162759,0.0005516316,0.000153934],"domain_scores_gemma":[0.9991282,0.00001985279,0.0006888479,0.00005626304,0.000007143132,0.00009972248],"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":[0.00002142392,0.00009166517,0.2119632,0.00001330449,0.000002552513,5.361144e-7,0.001681637,0.0000565255,0.7849606,0.000001032688,0.00004612087,0.001161322],"study_design_scores_gemma":[0.0006573437,0.0003478911,0.2439644,0.00007397423,0.000006852215,0.000004288363,0.0007842863,0.00005154487,0.7539941,0.00002940398,0.00003534818,0.0000505399],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994932,0.000131495,0.000004416114,0.0002229967,0.0000402362,0.00008501951,0.0000126981,9.381974e-7,0.00000903851],"genre_scores_gemma":[0.9992442,0.0006500722,0.00005843677,0.00001407992,0.00002271914,9.146807e-7,0.000002982478,0.000002363631,0.000004297922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03200119,"threshold_uncertainty_score":0.2624034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04585287681063771,"score_gpt":0.2735977375130651,"score_spread":0.2277448607024274,"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."}}