{"id":"W2910425620","doi":"10.1016/j.scitotenv.2018.12.247","title":"Adsorption of micropollutants present in surface waters onto polymeric resins: Impact of resin type and water matrix on performance","year":2019,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":58,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Polytechnique Montréal; Natural Sciences and Engineering Research Council of Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Adsorption; Chemistry; Ion-exchange resin; Freundlich equation; Environmental chemistry; Activated carbon; Water treatment; Chemical engineering; Organic chemistry; Environmental engineering; Environmental science","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":[0.0002883366,0.0005006634,0.0002629052,0.0002209172,0.0002913748,0.0004409727,0.000284747,0.0004173609,0.001531866],"category_scores_gemma":[0.0005448797,0.0002000703,0.0003606039,0.000195164,0.0001874562,0.0003795931,0.0003050734,0.0003301414,0.0005757548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002341898,"about_ca_system_score_gemma":0.0002233348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002030876,"about_ca_topic_score_gemma":0.002208035,"domain_scores_codex":[0.999752,0.00003654895,0.00001405593,0.00005135123,0.00005831056,0.00008771384],"domain_scores_gemma":[0.9998078,0.00008124789,0.00002722453,0.00001263044,0.00004381403,0.00002739274],"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":[0.000255684,0.00004644755,0.0003096634,0.00004355241,0.00001088857,0.0000198776,0.0000338503,0.0001783575,0.9968097,0.00002327431,0.00001939471,0.002249257],"study_design_scores_gemma":[0.000004770484,0.0003298902,0.00148214,0.000002909372,0.00001038384,0.00001831298,0.00003008482,0.0007131943,0.997135,0.000008464402,0.0002597355,0.000005083799],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973453,0.0004027262,0.001341436,0.00002092089,0.00001158671,0.00001412717,0.00009410722,0.00002396597,0.0007458825],"genre_scores_gemma":[0.9950745,0.0005690862,0.001831137,0.00002669541,0.00001262206,0.00001608554,0.0001560059,0.0000212837,0.002292618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002030876,"threshold_uncertainty_score":0.005124629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0122648601899028,"score_gpt":0.259466152854565,"score_spread":0.2472012926646622,"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."}}