{"id":"W4391530113","doi":"10.1039/d3tb01588b","title":"Statistical optimization of hydrazone-crosslinked hyaluronic acid hydrogels for protein delivery","year":2024,"lang":"en","type":"article","venue":"Journal of Materials Chemistry B","topic":"Hydrogels: synthesis, properties, applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; National Institutes of Health; University of Oregon; National Institute of Biomedical Imaging and Bioengineering; Collins Medical Trust","keywords":"Hyaluronic acid; Self-healing hydrogels; Hydrazone; Materials science; Polymer chemistry; Chemical engineering; Chemistry; Organic chemistry; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004800961,0.0003689092,0.0002282711,0.0002627945,0.0001356872,0.0002797585,0.0001346853,0.0001337989,0.0005231538],"category_scores_gemma":[0.0004329698,0.0001317612,0.0001866337,0.0002599705,0.0001449977,0.0001439086,0.0001411886,0.0002159536,0.0001245743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003420139,"about_ca_system_score_gemma":0.0004263184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006474307,"about_ca_topic_score_gemma":0.001646456,"domain_scores_codex":[0.9997945,0.00003630541,0.00001615201,0.00004072265,0.00008837934,0.00002382321],"domain_scores_gemma":[0.9998007,0.00008386358,0.00005713313,0.000008565275,0.00003686327,0.00001295613],"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":[0.00006803231,0.00002934959,0.0002805986,0.00004910803,0.000008619348,0.00002190248,0.00001028891,0.0102617,0.9854074,0.0002340669,0.00002776427,0.003601149],"study_design_scores_gemma":[0.000004905481,0.0001213581,0.0005811115,0.000001790379,0.000008321776,0.00001638252,0.000005822315,0.01850276,0.9801922,0.00006720096,0.0004925256,0.000005712992],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9290398,0.0007049965,0.06791865,0.00005347613,0.00001338388,0.0001056213,0.0003457492,0.000129956,0.001688259],"genre_scores_gemma":[0.9485775,0.0006319089,0.04901854,0.00001964121,0.000005892207,0.000153576,0.0002637901,0.00005996447,0.001269328],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006474307,"threshold_uncertainty_score":0.002539039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01313620307334895,"score_gpt":0.2531561388486931,"score_spread":0.2400199357753442,"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."}}