{"id":"W2552017809","doi":"10.1002/btm2.10043","title":"Synthetic nanoscale electrostatic particles as growth factor carriers for cartilage repair","year":2016,"lang":"en","type":"article","venue":"Bioengineering & Translational Medicine","topic":"Osteoarthritis Treatment and Mechanisms","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Air Force; Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology; Congressionally Directed Medical Research Programs; Natural Sciences and Engineering Research Council of Canada; U.S. Department of Defense; National Cancer Institute; National Science Foundation","keywords":"Cartilage; Osteoarthritis; Extracellular matrix; In vivo; Pharmacology; Inflammation; Growth factor; Cell biology; Medicine; Biomedical engineering; Chemistry; Immunology; Pathology; Biology; Internal medicine; Anatomy; Biotechnology; Receptor","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000114285,0.0002233746,0.0003307236,0.0001324569,0.00007537541,0.000004653185,0.00005015922,0.00008162812,0.0001976443],"category_scores_gemma":[0.0002315968,0.0001454408,0.0001527726,0.0001357005,0.0001029907,0.00008662298,0.00000388648,0.00005541701,0.00002279181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006181103,"about_ca_system_score_gemma":0.00007909279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006589,"about_ca_topic_score_gemma":0.000004786353,"domain_scores_codex":[0.9986505,0.00001408291,0.0003149281,0.0003103919,0.0003315614,0.0003785409],"domain_scores_gemma":[0.9991889,0.0002606471,0.00004040405,0.0001819752,0.0001120758,0.0002160178],"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":[0.0003466551,0.00005712203,0.001351809,0.0001558204,0.00007908526,0.00003064681,0.0004515987,0.000003101795,0.9787239,0.006562789,0.0001139503,0.01212349],"study_design_scores_gemma":[0.02039299,0.009534351,0.00773767,0.00210202,0.000896776,0.0002660822,0.0001771284,0.0007516229,0.9378562,0.004441926,0.01512894,0.0007142997],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9629388,0.002505242,0.02271973,0.00932168,0.000474488,0.001201712,0.0001233437,0.0004979037,0.0002170286],"genre_scores_gemma":[0.9958873,0.00005417306,0.002928115,0.0001455369,0.0002178319,0.000141663,0.00004681734,0.00004819755,0.0005303418],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04086774,"threshold_uncertainty_score":0.5930904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01422900371920933,"score_gpt":0.2473739722337135,"score_spread":0.2331449685145042,"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."}}