{"id":"W4401222979","doi":"10.1002/adfm.202406878","title":"An Ultrahydrating Polymer that Protects Protein Therapeutics and RNA‐Lipid Nanoparticles Against Freezing, Heat and Lyophilization Stress","year":2024,"lang":"en","type":"article","venue":"Advanced Functional Materials","topic":"Proteins in Food Systems","field":"Agricultural and Biological Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Michael Smith Health Research BC; Centre for Blood Research, University of British Columbia; Canadian Institutes of Health Research; Mitacs; Deutsche Forschungsgemeinschaft; Canadian Blood Services","keywords":"Materials science; Nanoparticle; Polymer; Nanotechnology; Chemical engineering; Composite material","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":[0.0002708256,0.0001707402,0.0001619186,0.00001683648,0.0002481627,0.0003430544,0.0000762316,0.00008813271,0.00005647498],"category_scores_gemma":[0.0000222286,0.00007697394,0.00001706201,0.0001203229,0.00007017911,0.0004765013,0.00003725402,0.00006054721,0.000006484943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001938269,"about_ca_system_score_gemma":0.000007996835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008278227,"about_ca_topic_score_gemma":0.00008087837,"domain_scores_codex":[0.998807,0.0001659591,0.0002239008,0.00038948,0.0002049152,0.0002088127],"domain_scores_gemma":[0.9996954,0.00007448425,0.00005513648,0.00006319454,0.00004238464,0.00006938039],"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":[0.00006044976,0.00002231718,0.0003023473,0.00006141646,0.00001479919,0.000001410078,0.00005458112,0.0000276201,0.9784551,0.0004553442,0.000002242638,0.02054236],"study_design_scores_gemma":[0.0001030765,0.0002555977,0.004983715,0.0001792456,0.000006587891,0.00000819158,0.0001092775,0.0001131038,0.9932026,0.0004698885,0.0003918408,0.0001768394],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970613,0.00119806,0.00004255046,0.0002454979,0.0003948372,0.0006901517,0.000174752,0.0001629022,0.00002999795],"genre_scores_gemma":[0.998952,0.00004753284,0.00006817732,0.0001347592,0.0003987789,0.0001892971,0.00014836,0.000004369099,0.00005672444],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02036552,"threshold_uncertainty_score":0.3308081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02791983837417233,"score_gpt":0.2360083487176314,"score_spread":0.2080885103434591,"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."}}