{"id":"W2068465768","doi":"10.5383/ijtee.04.01.014","title":"Modeling Tool for Air Stripping and Carbon Adsorbers to Remove Trace Organic Contaminants","year":2011,"lang":"en","type":"article","venue":"International Journal of Thermal and Environmental Engineering","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Air stripping; TRACE (psycholinguistics); Stripping (fiber); Environmental chemistry; Contamination; Environmental science; Waste management; Carbon fibers; Chemistry; Environmental engineering; Materials science; Engineering; Ecology","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":[0.000299247,0.000949735,0.0007486984,0.0004183163,0.0005481897,0.0006758683,0.00123466,0.001212517,0.005443752],"category_scores_gemma":[0.0005720919,0.0004509458,0.001080982,0.0003354433,0.0001634937,0.0006468546,0.000350216,0.0007278097,0.001068944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005676654,"about_ca_system_score_gemma":0.000946551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01138562,"about_ca_topic_score_gemma":0.009500087,"domain_scores_codex":[0.9998544,0.00003367842,0.000008997504,0.00002433389,0.00006047495,0.00001813339],"domain_scores_gemma":[0.9997976,0.0001018778,0.00001881572,0.00001140782,0.00006233196,0.000007874741],"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":[0.0000533806,0.00007272761,0.0007065363,0.0001603515,0.00004777683,0.0001267814,0.0000665765,0.9703432,0.01072738,0.003769691,0.0008844734,0.01304113],"study_design_scores_gemma":[0.000008292165,0.00002173491,0.00009122821,0.000004859858,0.000009686547,0.00001660846,0.000007423314,0.9955103,0.002014219,0.0004300444,0.001881054,0.000004475617],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05580152,0.0003709929,0.9254627,0.0002529954,0.00007384752,0.0001865107,0.0009502383,0.004275086,0.01262607],"genre_scores_gemma":[0.6830268,0.001153967,0.2779846,0.0001504143,0.00004825974,0.001289946,0.001529401,0.000662044,0.03415459],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01138562,"threshold_uncertainty_score":0.02263868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01058799855958237,"score_gpt":0.1952695707713174,"score_spread":0.184681572211735,"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."}}