{"id":"W2108620598","doi":"10.1002/bit.20416","title":"Separation of monoclonal antibody alemtuzumab monomer and dimers using ultrafiltration","year":2005,"lang":"en","type":"article","venue":"Biotechnology and Bioengineering","topic":"Protein purification and stability","field":"Biochemistry, Genetics and Molecular Biology","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Diafiltration; Ultrafiltration (renal); Membrane; Monomer; Chromatography; Chemistry; Polyvinylidene fluoride; Monoclonal antibody; Dimer; Yield (engineering); Separation process; Selectivity; Membrane technology; Chemical engineering; Microfiltration; Polymer; Materials science; Organic chemistry; Biochemistry; Antibody","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":[0.0005561994,0.00043248,0.0003887758,0.0002851009,0.0002764569,0.0004558755,0.0004155528,0.0005209066,0.00043648],"category_scores_gemma":[0.0004653823,0.0001549314,0.0003708415,0.0002048904,0.0002439219,0.0005861891,0.0003599972,0.0006215596,0.0003327993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003178683,"about_ca_system_score_gemma":0.0002023099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004803961,"about_ca_topic_score_gemma":0.0005200957,"domain_scores_codex":[0.9996271,0.00007451628,0.00002715805,0.00008654524,0.0001455728,0.00003900851],"domain_scores_gemma":[0.9998789,0.00003335182,0.00003204395,0.00001219939,0.00002988204,0.00001355726],"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":[0.00004084983,0.00002212924,0.0001597033,0.00004113882,0.000009099761,0.00003112642,0.00003307063,0.00008932606,0.9964209,0.00008203676,0.00003046276,0.003040193],"study_design_scores_gemma":[0.000009373315,0.0000862672,0.001067382,0.000006049277,0.00001252563,0.0001323268,0.00001426241,0.00183355,0.9953672,0.00006003171,0.001402995,0.000008045547],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9364026,0.002912107,0.0586967,0.0001737344,0.00005279308,0.00008988202,0.0001477667,0.0002073044,0.001317158],"genre_scores_gemma":[0.9338436,0.002522494,0.0604332,0.000187439,0.00003306047,0.0001114654,0.0004411372,0.00008402046,0.002343578],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005561994,"threshold_uncertainty_score":0.002941489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009398072234904907,"score_gpt":0.2732072807930278,"score_spread":0.2638092085581228,"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."}}