{"id":"W2014115534","doi":"10.1016/j.memsci.2010.01.046","title":"Separation of transforming growth factor-beta2 (TGF-β2) from whey protein isolates by crossflow microfiltration in the presence of a ligand","year":2010,"lang":"en","type":"article","venue":"Journal of Membrane Science","topic":"Electrospun Nanofibers in Biomedical Applications","field":"Materials Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Microfiltration; Chemistry; Membrane; Transforming growth factor; Chromatography; Ionic strength; Membrane fouling; Whey protein; Selectivity; Ligand (biochemistry); Biophysics; Fouling; Biochemistry; Receptor; Biology; Organic chemistry; Cell biology","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":[0.002291854,0.0001149192,0.0002560266,0.0001626614,0.0001497956,0.0001020299,0.00117852,0.00008651317,0.00004810843],"category_scores_gemma":[0.0003305033,0.0000753244,0.00006328706,0.0008915046,0.001032931,0.0009733671,0.0000267537,0.0002988625,0.000002520249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002883344,"about_ca_system_score_gemma":0.0003613773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001748274,"about_ca_topic_score_gemma":0.00006922662,"domain_scores_codex":[0.9977567,0.00007520255,0.0007932035,0.0002182591,0.0009028036,0.0002538855],"domain_scores_gemma":[0.998302,0.0002928739,0.0006847944,0.0002483413,0.0003898522,0.00008214208],"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":[0.00004264162,0.0001128963,0.0004318329,0.00002542883,0.0000022417,5.987451e-7,0.001854217,0.000004481576,0.9968926,0.0003257542,0.00003508529,0.0002721696],"study_design_scores_gemma":[0.000337589,0.0001741976,0.001626243,0.00006954906,0.000009191719,0.00001577724,0.0001148739,0.0002146804,0.9958699,0.001417823,0.00007232063,0.00007784816],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993899,0.00009888515,0.004357607,0.0009859534,0.0002010428,0.0003335371,0.00003570789,0.000005202382,0.00008299946],"genre_scores_gemma":[0.9901107,0.0000322737,0.009740517,0.00003042583,0.0000572141,0.00001006214,0.000001615997,0.000005034841,0.00001216002],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005382911,"threshold_uncertainty_score":0.3805876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007034067269391706,"score_gpt":0.2675977136825104,"score_spread":0.2605636464131187,"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."}}