{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002311033,0.0005047449,0.0003600736,0.0002818067,0.000151525,0.0003247252,0.0002045223,0.0005140944,0.0001898435],"category_scores_gemma":[0.0001825166,0.0001763654,0.0003515313,0.0001998945,0.0001482358,0.0004114415,0.000237767,0.0002951949,0.0001789496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003785331,"about_ca_system_score_gemma":0.0002485636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001364915,"about_ca_topic_score_gemma":0.001806679,"domain_scores_codex":[0.9998485,0.00002032315,0.00001120369,0.00003103293,0.00005404848,0.00003498429],"domain_scores_gemma":[0.9999152,0.00001147736,0.00002791197,0.000004344315,0.00002671649,0.00001436664],"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":[0.00001368531,0.000004386553,0.00006109581,0.00001424964,0.000003456388,0.00001056154,0.00000486921,0.00002391201,0.9992408,0.00001421975,0.000004584839,0.000604293],"study_design_scores_gemma":[0.000003507579,0.00005959947,0.001128469,0.000002287408,0.00001109297,0.00006469708,0.000009322934,0.0008084776,0.9974032,0.00001056181,0.0004948038,0.000003890545],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905986,0.0008937307,0.007925785,0.00003578483,0.00001030065,0.00001595313,0.00006207123,0.00008879464,0.0003690695],"genre_scores_gemma":[0.9876676,0.0007813,0.009979865,0.00003702665,0.000008671788,0.00002805204,0.0001594707,0.00002611757,0.001311875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001364915,"threshold_uncertainty_score":0.002746463,"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."}}