{"id":"W2016596068","doi":"10.1002/jctb.805","title":"Bioremediation of toluene‐contaminated air using an external loop airlift bioreactor","year":2003,"lang":"en","type":"article","venue":"Journal of Chemical Technology & Biotechnology","topic":"Odor and Emission Control Technologies","field":"Chemical Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Toluene; Bioreactor; Pseudomonas putida; Airlift; Biofilter; Sparging; Bioremediation; Biodegradation; Chemistry; Aeration; Contamination; Microbial consortium; Chromatography; Bioaugmentation; Environmental chemistry; Air sparging; Pulp and paper industry; Environmental engineering; Environmental science; Environmental remediation; Microorganism; Organic chemistry; Biology; Bacteria","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003212194,0.0008330584,0.0005401588,0.0003064724,0.0002298339,0.0006737235,0.0003482329,0.0002892268,0.000630811],"category_scores_gemma":[0.0003209668,0.0001244531,0.0003614439,0.0001591916,0.000247998,0.0004167107,0.0006097525,0.0003934015,0.0004593985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003197601,"about_ca_system_score_gemma":0.0002787343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00126088,"about_ca_topic_score_gemma":0.001110448,"domain_scores_codex":[0.9996551,0.00005196935,0.0000218505,0.00006667716,0.0001467429,0.0000576634],"domain_scores_gemma":[0.9998176,0.00003899035,0.00003941882,0.00001944672,0.00005003673,0.00003455487],"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":[0.0000743846,0.00006219424,0.0006357645,0.00004579098,0.000005470099,0.00005831341,0.00002030294,0.0001587424,0.9949462,0.00001828983,0.00003216137,0.003942396],"study_design_scores_gemma":[0.00001632068,0.0003103456,0.001710684,0.00000647378,0.00001598491,0.0001095843,0.0000231854,0.002415049,0.9946772,0.00000969837,0.0006999344,0.000005507582],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876673,0.0002324266,0.01099797,0.00006413157,0.00002990199,0.00003849864,0.0001045071,0.0003212756,0.0005440805],"genre_scores_gemma":[0.9810539,0.0003433995,0.01585484,0.00006001077,0.00002447067,0.00004058922,0.0004359014,0.00006105436,0.002125794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00126088,"threshold_uncertainty_score":0.002507091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01586407633759151,"score_gpt":0.2579382869570449,"score_spread":0.2420742106194534,"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."}}