{"id":"W2015158660","doi":"10.1016/j.desal.2007.02.089","title":"Role of NOM in the performance of adsorption-membrane hybrid systems applied for the removal of pharmaceuticals","year":2008,"lang":"en","type":"article","venue":"Desalination","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":50,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Public Health Agency of Canada","keywords":"Membrane; Adsorption; Filtration (mathematics); Fouling; Chemistry; Membrane fouling; Activated carbon; Powdered activated carbon treatment; Chemical engineering; Water treatment; Chromatography; Membrane technology; Phosphate; Environmental engineering; Environmental science; Organic chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0006033406,0.00005540765,0.0001130415,0.00004056107,0.00004009796,0.00000254028,0.0002528456,0.00003311461,0.00002709137],"category_scores_gemma":[0.00006017561,0.00003550194,0.0000280985,0.000207554,0.0002189428,0.00008243068,0.00002606419,0.0000533423,0.000006385683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002759298,"about_ca_system_score_gemma":0.000008486725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004323917,"about_ca_topic_score_gemma":0.00000457056,"domain_scores_codex":[0.99923,0.0000347059,0.0003004201,0.00009431733,0.0002590251,0.00008154351],"domain_scores_gemma":[0.9993581,0.0002195873,0.0001992778,0.0001955326,0.00002073255,0.000006726671],"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":[0.00008789221,0.0001108789,0.002742884,0.00009600532,0.000008896096,3.243279e-7,0.0008680442,0.03634462,0.9469239,0.005585657,0.00008166335,0.007149273],"study_design_scores_gemma":[0.0003832665,0.00005652516,0.01662566,0.00001129214,0.00001179578,0.0000180504,0.0003768477,0.1288093,0.8522789,0.0001602344,0.001217537,0.00005063413],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966021,0.0001268831,0.0006636259,0.00008720391,0.00002868963,0.0006184061,0.000008155053,0.00001232333,0.001852575],"genre_scores_gemma":[0.9993488,0.0001267975,0.0003825031,0.0000149373,0.000008500791,0.00006541612,0.000006799677,0.0000041629,0.00004208049],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09464499,"threshold_uncertainty_score":0.1447727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02552221421808873,"score_gpt":0.2654365203538496,"score_spread":0.2399143061357609,"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."}}