{"id":"W3137347265","doi":"10.1002/smll.202007963","title":"Design and Testing of Efficient Mucus‐Penetrating Nanogels—Pitfalls of Preclinical Testing and Lessons Learned","year":2021,"lang":"en","type":"article","venue":"Small","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Mitacs; Deutscher Akademischer Austauschdienst","keywords":"Mucus; Preclinical testing; Nanotechnology; Materials science; Biomedical engineering; Medical physics; Medicine; Biology","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":[0.0005548586,0.00008245352,0.000142408,0.00002836697,0.00005782081,0.00001656358,0.00006574956,0.00009494631,0.000006262298],"category_scores_gemma":[0.003953983,0.00007972588,0.00002366485,0.0001403074,0.0001039682,0.000001474507,0.0001664006,0.00009078393,4.610091e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002991206,"about_ca_system_score_gemma":0.0001576101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003136895,"about_ca_topic_score_gemma":0.00001731407,"domain_scores_codex":[0.999054,0.0001453235,0.0002559815,0.0002758929,0.0001087,0.0001600854],"domain_scores_gemma":[0.9990508,0.0003352482,0.0001054819,0.0001688785,0.0002728929,0.00006667372],"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":[0.00002953558,0.00005251526,0.009150252,0.00007724531,0.00001573511,0.000004044393,0.00005347338,0.0008937964,0.9643897,0.00003514559,0.000004526329,0.02529397],"study_design_scores_gemma":[0.0006085718,0.0003876031,0.01571653,0.00009899335,0.00001216071,0.0000262362,0.00008667052,0.009460106,0.9732899,0.00007584191,0.0001237676,0.0001136186],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951385,0.000736901,0.003093597,0.0001080588,0.00001560653,0.0001508652,0.000004674489,0.00000537083,0.0007463925],"genre_scores_gemma":[0.938131,0.00003533141,0.06161495,0.00002006709,0.0000249273,0.000005578095,0.000005721852,0.00001006167,0.0001524041],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05852136,"threshold_uncertainty_score":0.4733573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1535657112959413,"score_gpt":0.3576782232984845,"score_spread":0.2041125120025432,"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."}}