{"id":"W4415076794","doi":"10.1002/app.58055","title":"Separation of Bovine Serum Albumin and Humic Acid Using Antifouling Ultrafiltration Membranes Based on the Blends of Poly(Amide Imide) and Zirconium Containing  <scp>MOF</scp> ‐808","year":2025,"lang":"en","type":"article","venue":"Journal of Applied Polymer Science","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Human Resource Development Centre, Council of Scientific And Industrial Research","keywords":"Ultrafiltration (renal); Biofouling; Membrane; Humic acid; Contact angle; Bovine serum albumin; Fourier transform infrared spectroscopy; Scanning electron microscope","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":[0.0007103554,0.0001197669,0.0002184848,0.0003540208,0.0001715385,0.00008357878,0.0001443065,0.00005074191,0.000005362247],"category_scores_gemma":[0.00006116751,0.00009464706,0.0000314631,0.000569954,0.0002238119,0.0004182355,0.00001262317,0.0001656805,2.00398e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002600247,"about_ca_system_score_gemma":0.0002269758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005819621,"about_ca_topic_score_gemma":0.000005131078,"domain_scores_codex":[0.9989085,0.00001817934,0.0004893199,0.0001276682,0.0003081997,0.0001481368],"domain_scores_gemma":[0.9990954,0.0002868514,0.0003162303,0.0001080104,0.0001396926,0.00005382752],"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":[0.00003379531,0.00001325222,0.0003110285,0.00008342294,0.00001518238,4.834739e-7,0.0007046821,0.008848336,0.9872546,0.001717658,0.00001288503,0.001004713],"study_design_scores_gemma":[0.0002834646,0.00006079772,0.0008877629,0.00009475133,0.00003026259,0.0000125179,0.001099197,0.1039334,0.8934473,0.00006068718,0.00004950278,0.00004036718],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9842227,0.001783423,0.01032348,0.0001484498,0.0001819052,0.00008438851,0.000003250967,0.0000146422,0.003237797],"genre_scores_gemma":[0.9992435,0.0001219853,0.0004355304,0.0001309014,0.00003020511,0.000001389704,5.660614e-7,0.000006870055,0.00002907088],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09508504,"threshold_uncertainty_score":0.3859595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01186422693674137,"score_gpt":0.2646260915950731,"score_spread":0.2527618646583317,"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."}}