{"id":"W2768725641","doi":"10.1016/j.msec.2017.11.015","title":"Custom-made PEI/exfoliated-MoS 2 nanocomposite ultrafiltration membranes for separation of bovine serum albumin and humic acid","year":2017,"lang":"en","type":"article","venue":"Materials Science and Engineering C","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":58,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"Central ElectroChemical Research Institute","keywords":"Membrane; Contact angle; Materials science; Phase inversion; Ultrafiltration (renal); Humic acid; Chemical engineering; Fouling; Nanocomposite; Bovine serum albumin; Fourier transform infrared spectroscopy; Chromatography; Nuclear chemistry; Chemistry; Composite material; Organic chemistry; Biochemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005121207,0.0001184152,0.0001600758,0.00006575967,0.000355701,0.0002264166,0.0002747979,0.00005922663,0.0000394596],"category_scores_gemma":[0.0001798845,0.0001070595,0.00001173372,0.0000703508,0.0004141881,0.001048856,0.0001107083,0.00002823884,0.000007714824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003225794,"about_ca_system_score_gemma":0.00001305073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000700219,"about_ca_topic_score_gemma":0.000008457306,"domain_scores_codex":[0.9991173,0.000006182411,0.0001994462,0.000268516,0.0002009444,0.0002075832],"domain_scores_gemma":[0.9995264,0.00001709088,0.0001263299,0.0002597451,0.00002263711,0.00004774651],"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":[0.00001220325,0.000006588671,0.0004135908,0.00009090255,0.000001894182,2.745331e-7,0.0001550311,0.0005223345,0.998184,0.0001417473,0.00002850913,0.0004429807],"study_design_scores_gemma":[0.0001882666,0.00008180057,0.02259542,0.00002276819,0.000008099818,0.000007539601,0.00002399827,0.005061711,0.9714992,0.00005753261,0.0003303315,0.0001233365],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985344,0.00003292926,0.0005406886,0.0002119741,0.0001772113,0.0002840831,0.00001647663,0.00006840279,0.000133774],"genre_scores_gemma":[0.9978644,0.00005758621,0.001926123,0.0000202456,0.00002086292,0.00002779191,0.000004354217,0.000007700593,0.00007099173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02668475,"threshold_uncertainty_score":0.4365759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009934493133643052,"score_gpt":0.2485605199629994,"score_spread":0.2386260268293564,"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."}}