{"id":"W2109975102","doi":"10.1021/es7032185","title":"Adsorption of Selected Pharmaceuticals and an Endocrine Disrupting Compound by Granular Activated Carbon. 2. Model Prediction","year":2009,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Natural Sciences and Engineering Research Council of Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Public Health Agency of Canada","keywords":"Nonylphenol; Naproxen; Adsorption; Chemistry; Activated carbon; Water treatment; Fouling; Powdered activated carbon treatment; Environmental chemistry; Chromatography; Total organic carbon; Environmental engineering; Environmental science; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001948157,0.0009458358,0.0005029291,0.0005050301,0.0003623421,0.0006677773,0.0007535901,0.001184027,0.001332195],"category_scores_gemma":[0.0004868834,0.0002915924,0.0008559101,0.0005066787,0.0002446824,0.0003847514,0.0002668888,0.0003918075,0.0003465282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001660184,"about_ca_system_score_gemma":0.0009263468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06569108,"about_ca_topic_score_gemma":0.02278247,"domain_scores_codex":[0.9998896,0.0000161572,0.000007023245,0.00003171936,0.0000335121,0.0000219722],"domain_scores_gemma":[0.9998454,0.00007983801,0.00001882899,0.000007412987,0.00004191485,0.000006536824],"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":[0.00009294522,0.0000658334,0.00229287,0.0001875659,0.00002584542,0.0000854699,0.00001691474,0.9811919,0.01219695,0.0004640463,0.0001863947,0.003193207],"study_design_scores_gemma":[0.00001421742,0.00005946984,0.001223,0.000004527838,0.00001154819,0.00001406132,0.00001014744,0.9942795,0.003928053,0.0001724092,0.0002749949,0.000008002065],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9536119,0.001144729,0.02642411,0.0003748005,0.00005340193,0.0003258549,0.002603234,0.0003120409,0.01514996],"genre_scores_gemma":[0.9905173,0.0006469253,0.00467385,0.00004342951,0.0000081587,0.0002370505,0.0007299772,0.00002513799,0.003118107],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06569108,"threshold_uncertainty_score":0.1306174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01310794703549537,"score_gpt":0.2856453192231914,"score_spread":0.272537372187696,"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."}}