{"id":"W2100413944","doi":"10.1139/l09-090","title":"Mathematical modeling and simulation of hexane degradation in fungal and bacterial biofilters: effective diffusivity and partition aspectsThis article is one of a selection of papers published in this Special Issue on Biological Air Treatment.","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Odor and Emission Control Technologies","field":"Chemical Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biofilter; Dimensionless quantity; Partition coefficient; Biofilm; Thermal diffusivity; Mass diffusivity; Biological system; Degradation (telecommunications); Chemistry; Environmental science; Environmental engineering; Thermodynamics; Chromatography; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0004023607,0.0007313023,0.0007371802,0.0005285434,0.0004614554,0.001068765,0.0009344197,0.001451349,0.000884528],"category_scores_gemma":[0.0009348374,0.0003886085,0.001109913,0.0004470976,0.000506739,0.0008209665,0.0005998994,0.0005841263,0.0002175455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00117063,"about_ca_system_score_gemma":0.0009940076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009513113,"about_ca_topic_score_gemma":0.004860758,"domain_scores_codex":[0.9998283,0.00003421016,0.00001870798,0.00003068621,0.00005586001,0.00003216863],"domain_scores_gemma":[0.9995999,0.000235058,0.00006093031,0.00001718887,0.00007217335,0.00001483281],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000263872,0.0000268246,0.0005085453,0.00008276903,0.00001120425,0.00005639058,0.00003413956,0.9859458,0.006749282,0.003739502,0.00008737009,0.002731833],"study_design_scores_gemma":[0.000003491416,0.000009565618,0.00008142896,0.000002326563,0.000003188909,0.00000812536,0.000004958315,0.9982464,0.001102454,0.00035567,0.0001795668,0.00000293752],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3523456,0.002848403,0.6271842,0.0009845282,0.0001453253,0.0002216238,0.0009285959,0.0005093466,0.01483238],"genre_scores_gemma":[0.9411038,0.002133967,0.04707381,0.00007182742,0.00004165692,0.000382506,0.0003855398,0.00006052931,0.008746369],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009513113,"threshold_uncertainty_score":0.01891547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01190777895013309,"score_gpt":0.2117609094153563,"score_spread":0.1998531304652232,"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."}}