{"id":"W4231718142","doi":"10.5383/ijtee.09.02.004","title":"Packed Bed Adsorption Column Modeling for Cadmium Removal","year":2015,"lang":"en","type":"article","venue":"International Journal of Thermal and Environmental Engineering","topic":"Water Quality Monitoring Technologies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Packed bed; Adsorption; Kinetic energy; Volumetric flow rate; Effluent; Breakthrough curve; Pollutant; Chemistry; Flow (mathematics); Work (physics); Chromatography; Materials science; Environmental engineering; Chemical engineering; Thermodynamics; Environmental science; Mechanics; Engineering; Physics; Physical chemistry; Organic chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002585777,0.00009194234,0.0001011597,0.00004531349,0.00001765449,0.0000288339,0.0002283105,0.00004903405,0.00001898591],"category_scores_gemma":[0.00006070759,0.00008424908,0.00005205966,0.00001893412,0.00003933927,0.0002788875,0.000152248,0.0001009983,0.000006989635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002626172,"about_ca_system_score_gemma":0.000003808519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000280371,"about_ca_topic_score_gemma":7.283056e-7,"domain_scores_codex":[0.9992288,0.000008600668,0.0002318578,0.00009622955,0.000312832,0.0001216744],"domain_scores_gemma":[0.9997432,0.00001876687,0.00008888315,0.00005995626,0.00000892725,0.00008024649],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002288889,0.00009300095,0.00983054,0.000007246828,0.0001107412,0.00004754588,0.0007096577,0.4868668,0.4933937,0.00007803483,0.0003046891,0.00832913],"study_design_scores_gemma":[0.004379884,0.000681955,0.009657998,0.0001420803,0.00008662402,0.001249185,0.001719402,0.8563796,0.1057278,0.002143976,0.0170404,0.0007911385],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919462,0.0000743767,0.006934077,0.000349668,0.0005718617,0.00005888101,0.000008143908,0.00002257616,0.00003417039],"genre_scores_gemma":[0.9896821,0.00002324851,0.0100028,0.00002845764,0.0001960809,0.000003667214,0.000004377062,0.00001264401,0.00004661046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.387666,"threshold_uncertainty_score":0.3435578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02683342675820811,"score_gpt":0.2329920383965335,"score_spread":0.2061586116383254,"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."}}