{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009535262,0.0006878253,0.000617589,0.0003925302,0.0003214868,0.0009959722,0.001072236,0.0009782689,0.0007396149],"category_scores_gemma":[0.005036194,0.0003705315,0.0003723066,0.0002509692,0.001257815,0.001476404,0.0005852732,0.00165509,0.0003153266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006165034,"about_ca_system_score_gemma":0.001217775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005744942,"about_ca_topic_score_gemma":0.0006965452,"domain_scores_codex":[0.997437,0.001420421,0.0002097408,0.0002044871,0.0005873151,0.0001411053],"domain_scores_gemma":[0.9968361,0.001431074,0.0003712691,0.0004287894,0.0007317555,0.0002009938],"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":[0.0002043709,0.0005692631,0.000832112,0.0008676833,0.00005925604,0.0002033432,0.0002654238,0.002283879,0.9381613,0.001694863,0.0005472546,0.05431122],"study_design_scores_gemma":[0.000145701,0.01200828,0.001649669,0.0002493361,0.00009260402,0.0005285295,0.0002984839,0.004089345,0.9620944,0.002913322,0.01588891,0.00004150836],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.709805,0.05443748,0.2166807,0.009489312,0.0005131169,0.002468882,0.0005747838,0.0006707622,0.005359973],"genre_scores_gemma":[0.8049139,0.03537014,0.1546376,0.001445983,0.0002173572,0.000981641,0.0004434412,0.0001900782,0.001799858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009535262,"threshold_uncertainty_score":0.05042791,"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."}}