{"id":"W3183198452","doi":"10.1016/j.chroma.2021.462412","title":"Patterns of protein adsorption in ion-exchange particles and columns: Evolution of protein concentration profiles during load, hold, and wash steps predicted for pore and solid diffusion mechanisms","year":2021,"lang":"en","type":"article","venue":"Journal of Chromatography A","topic":"Protein purification and stability","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Chemistry; Diffusion; Adsorption; Chromatography; Ion exchange; Phase (matter); Molecular diffusion; Ion; Analytical Chemistry (journal); Chemical physics; Chemical engineering; Thermodynamics; Physical chemistry; Organic chemistry","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":[0.0002096739,0.0002200587,0.0002400926,0.0002090778,0.0002708528,0.0004443842,0.0003732716,0.0005281254,0.0004796034],"category_scores_gemma":[0.0006978365,0.0001806498,0.0002679325,0.0001483941,0.0003024055,0.0003582952,0.0001448773,0.0003824248,0.0001374382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007156572,"about_ca_system_score_gemma":0.0003857971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004671947,"about_ca_topic_score_gemma":0.002453563,"domain_scores_codex":[0.9999125,0.000007944578,0.000003986306,0.00001805642,0.00002528946,0.00003231266],"domain_scores_gemma":[0.9997558,0.000105322,0.00003743667,0.00002570329,0.00004518882,0.00003058028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008575049,0.000307318,0.02237297,0.00008723807,0.00004994911,0.0004010968,0.0003888088,0.2161934,0.7519763,0.0009490243,0.000330262,0.006086175],"study_design_scores_gemma":[0.00003446377,0.0003199454,0.01645369,0.000005103219,0.00001610499,0.00008857136,0.0001206278,0.7231358,0.2590606,0.000387559,0.0003446013,0.00003302671],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954586,0.00003361372,0.004104724,0.00003126204,0.00000283408,0.00001359032,0.00008120736,0.00005809116,0.0002161197],"genre_scores_gemma":[0.9970752,0.00004571555,0.002335381,0.00001002778,8.368474e-7,0.00002446394,0.000128311,0.00001278935,0.0003673269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004671947,"threshold_uncertainty_score":0.009289563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006373720031758766,"score_gpt":0.2222576637347832,"score_spread":0.2158839437030244,"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."}}