{"id":"W2273855103","doi":"10.1016/j.chemosphere.2016.01.121","title":"Influence of activated carbon preloading by EfOM fractions from treated wastewater on adsorption of pharmaceutically active compounds","year":2016,"lang":"en","type":"article","venue":"Chemosphere","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"China Scholarship Council; Public Health Agency of Canada","keywords":"Chemistry; Adsorption; Nanofiltration; Activated carbon; Microporous material; Membrane; Environmental chemistry; Chromatography; Biochemistry; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004534516,0.000141304,0.0001888868,0.0000122533,0.00002975748,0.000004947525,0.0002036803,0.0001352329,0.00119939],"category_scores_gemma":[0.00007509375,0.0001003246,0.00003704663,0.0001977777,0.0002685767,0.0002306306,0.00007421173,0.0001111659,0.00007393371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001811287,"about_ca_system_score_gemma":0.000007697693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004001624,"about_ca_topic_score_gemma":0.00001119832,"domain_scores_codex":[0.9990459,0.00003583333,0.0002483453,0.0002772869,0.0002323844,0.0001602291],"domain_scores_gemma":[0.9993013,0.0001376415,0.0002014408,0.0002912297,0.0000216509,0.00004670312],"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":[0.0001653701,0.0001064222,0.007596978,0.000005542084,0.00002792382,2.988562e-7,0.0001219217,0.0004644157,0.9891825,0.000004478455,0.0002606599,0.002063465],"study_design_scores_gemma":[0.0005777588,0.00008156949,0.01464459,0.00006497331,0.00001842428,4.587152e-7,0.00007354106,0.0001441769,0.983752,0.0001685324,0.0003593188,0.000114667],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947771,0.000007012991,0.00001231556,0.0001461624,0.00002011603,0.0001839654,0.00004585168,0.0000981656,0.004709266],"genre_scores_gemma":[0.999395,0.00001886918,0.0001782545,0.00002751376,0.000005210389,0.0000165136,0.00001030878,0.00001278,0.0003355883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007047613,"threshold_uncertainty_score":0.9997137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01231507287285394,"score_gpt":0.2496916647386858,"score_spread":0.2373765918658318,"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."}}