{"id":"W4399490608","doi":"10.1039/d4ma00377b","title":"Improving the colloidal stability of protein@ZIF-8 nanoparticles in biologically relevant buffers","year":2024,"lang":"en","type":"article","venue":"Materials Advances","topic":"Nanoparticle-Based Drug Delivery","field":"Materials Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto","keywords":"Colloid; Nanoparticle; Protein stability; Materials science; Nanotechnology; Chemical engineering; Chemistry; Engineering; Biochemistry","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":[0.001986394,0.0001959897,0.0003526155,0.00005939219,0.00008806975,0.0001910147,0.0003822177,0.00006624771,0.0005883363],"category_scores_gemma":[0.0004508225,0.0001171372,0.00005178106,0.0003062329,0.0004172089,0.000457812,0.0001723777,0.00007883297,0.00009911045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009253989,"about_ca_system_score_gemma":0.0001168465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002517075,"about_ca_topic_score_gemma":0.0001024618,"domain_scores_codex":[0.9976568,0.000407578,0.0007130075,0.0004887119,0.0002928566,0.0004410613],"domain_scores_gemma":[0.9989967,0.0003482746,0.0001537574,0.0003808617,0.00006722868,0.00005317844],"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":[0.0002831194,0.00007623652,0.0002463091,0.0002855116,0.000003478855,0.00001767737,0.00021533,0.00006862462,0.9964104,0.0008005743,0.000006332907,0.001586449],"study_design_scores_gemma":[0.0002115367,0.0001880967,0.0003748044,0.000140201,0.00001045408,0.000003497051,0.0002636091,0.0000722129,0.9966487,0.001556327,0.0003723569,0.00015824],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953753,0.00238321,0.00004657178,0.0004069021,0.0007420867,0.0007387945,0.000125959,0.0001513215,0.00002982498],"genre_scores_gemma":[0.9986257,0.00004501694,0.0009982558,0.00004057792,0.00007324418,0.0001800671,0.000002680431,0.0000177621,0.00001670491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003250361,"threshold_uncertainty_score":0.644187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01380732402733748,"score_gpt":0.242504323192932,"score_spread":0.2286969991655945,"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."}}