{"id":"W2088127864","doi":"10.1016/j.memsci.2007.07.025","title":"Membrane adsorption of endocrine disrupting compounds and pharmaceutically active compounds","year":2007,"lang":"en","type":"article","venue":"Journal of Membrane Science","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":187,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of the Environment, Conservation and Parks; University of Toronto","funders":"Canadian Water Network; Public Health Agency of Canada","keywords":"Chemistry; Adsorption; Membrane; Nanofiltration; Chromatography; Reverse osmosis; Ultrafiltration (renal); Effluent; Solubility; Environmental chemistry; Organic chemistry; Environmental engineering; Biochemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002243971,0.0001748026,0.0003141425,0.0001430636,0.0001643661,0.00004250835,0.0004607105,0.00003760041,0.0003245933],"category_scores_gemma":[0.0001798827,0.0001351039,0.00008354827,0.0005741654,0.002212006,0.001048446,0.0002925085,0.0003421122,0.00001918809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001841826,"about_ca_system_score_gemma":0.00003199099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002298739,"about_ca_topic_score_gemma":0.000005292635,"domain_scores_codex":[0.9974231,0.00004853254,0.0006285775,0.0002540775,0.001131878,0.0005138832],"domain_scores_gemma":[0.998598,0.0002351535,0.0004419903,0.0001373173,0.00003421696,0.0005532604],"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":[0.0001815242,0.000233214,0.007408321,0.0000272524,0.00001232673,0.00003182386,0.0002390172,0.0001378293,0.9837993,0.00008625064,0.00001717397,0.007825901],"study_design_scores_gemma":[0.001017655,0.0002417959,0.09106512,0.00006686689,0.00004455796,0.0007052101,0.0002333906,0.0008970198,0.9046345,0.00008989415,0.0008489225,0.0001550589],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882277,0.00005197224,0.0003199814,0.0004709907,0.0002210715,0.0001037735,0.000003700499,0.000008400815,0.01059236],"genre_scores_gemma":[0.9965426,0.0002219355,0.002800997,0.0002893651,0.00006748753,1.377357e-7,4.719543e-7,0.000009222495,0.00006780188],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0836568,"threshold_uncertainty_score":0.8150229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02527059115204312,"score_gpt":0.3252242356705576,"score_spread":0.2999536445185145,"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."}}