{"id":"W2024963743","doi":"10.1016/j.cej.2007.08.018","title":"Effect of liquid distribution on the organic removal in a trickle bed filter","year":2007,"lang":"en","type":"article","venue":"Chemical Engineering Journal","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph; Toronto Metropolitan University","funders":"","keywords":"TRICKLE; Volumetric flow rate; Liquid flow; Chemistry; Trickle-bed reactor; Chromatography; Packed bed; Analytical Chemistry (journal); Thermodynamics; Mechanics; Organic chemistry; Catalysis","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":[0.000253626,0.0003178898,0.0004970621,0.0002382746,0.0003579627,0.0009205482,0.0004307819,0.0003780026,0.001966861],"category_scores_gemma":[0.0007123384,0.0001850462,0.000267233,0.0002094143,0.0003283729,0.0006359342,0.0003512396,0.0004921345,0.0003265357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005137603,"about_ca_system_score_gemma":0.0004043327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003865006,"about_ca_topic_score_gemma":0.002430625,"domain_scores_codex":[0.9997393,0.00005637951,0.00002173993,0.0000500901,0.00004672372,0.00008575346],"domain_scores_gemma":[0.9992074,0.000388277,0.0001161307,0.00004191575,0.0001165768,0.00012959],"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":[0.003492245,0.0001815675,0.0006825014,0.0001114733,0.0000191076,0.0000853436,0.00005608447,0.0003972366,0.9902337,0.00005860726,0.00007364785,0.00460843],"study_design_scores_gemma":[0.00005126347,0.001120519,0.001430304,0.000005844305,0.00002922743,0.00003286191,0.00003936681,0.002206824,0.9946853,0.00001260662,0.0003770554,0.00000890157],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987721,0.0002427554,0.0005030131,0.00004095779,0.00001834697,0.000004222221,0.00004106707,0.0000359455,0.00034155],"genre_scores_gemma":[0.998428,0.0001678119,0.0004157463,0.00003466937,0.00001482276,0.000003994469,0.00005305564,0.00001638451,0.0008655006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003865006,"threshold_uncertainty_score":0.007685006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004297806094374365,"score_gpt":0.1930002414981468,"score_spread":0.1887024354037724,"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."}}