{"id":"W2029433937","doi":"10.1021/ie049635n","title":"Hydrodynamics Modeling of Bioclogging in Waste Gas Treating Trickle-Bed Bioreactors","year":2004,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Odor and Emission Control Technologies","field":"Chemical Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Clogging; Bioreactor; TRICKLE; Trickle-bed reactor; Biomass (ecology); Volume (thermodynamics); Chemistry; Pressure drop; Aeration; Pulp and paper industry; Environmental science; Environmental engineering; Waste management; Mechanics; Geology; Thermodynamics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003302195,0.0006352088,0.0007326087,0.0003950502,0.0005826689,0.001087327,0.0006269941,0.001304169,0.0008699532],"category_scores_gemma":[0.0006670604,0.0003934092,0.0006446399,0.0002741503,0.0006882223,0.000582887,0.0005445723,0.0004901313,0.0001797964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001897297,"about_ca_system_score_gemma":0.001299641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04690694,"about_ca_topic_score_gemma":0.009238942,"domain_scores_codex":[0.9998494,0.00004283288,0.00001019112,0.00002675157,0.00002762731,0.0000430859],"domain_scores_gemma":[0.9997472,0.0001135932,0.00003440379,0.00001044683,0.0000583756,0.0000359222],"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":[0.00004109111,0.00003941433,0.001070107,0.00001881239,0.000007589218,0.00008021828,0.00003915567,0.9913707,0.005230312,0.0006935734,0.0001145106,0.00129453],"study_design_scores_gemma":[0.000005560666,0.000009132681,0.0002067289,7.70073e-7,0.000001308363,0.0000034094,0.000007225055,0.9992773,0.0003532543,0.00007243584,0.00006013773,0.000002859619],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8736939,0.0004715245,0.1165172,0.0005400887,0.00008891925,0.0001043845,0.000283683,0.0004499258,0.007850241],"genre_scores_gemma":[0.992901,0.0002261827,0.00320107,0.00004729315,0.0000164988,0.00007470189,0.0001301494,0.00002678888,0.003376446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04690694,"threshold_uncertainty_score":0.09326786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07609228671848332,"score_gpt":0.3130073212488449,"score_spread":0.2369150345303616,"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."}}