{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001843991,0.0002149964,0.0001366235,0.0001720187,0.00009741852,0.0002359045,0.0001566132,0.0003928461,0.000472952],"category_scores_gemma":[0.0001287748,0.0001003028,0.0001759884,0.00008707715,0.0001927693,0.000255861,0.0001604223,0.0002559737,0.0002621948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000241717,"about_ca_system_score_gemma":0.0001431868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002265745,"about_ca_topic_score_gemma":0.0003086963,"domain_scores_codex":[0.9998916,0.00002119452,0.000007332233,0.0000227897,0.00004355029,0.0000134143],"domain_scores_gemma":[0.9999423,0.00001128566,0.00002101821,0.000003892497,0.00001029364,0.00001127495],"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":[0.00002405116,0.00001766637,0.0000388954,0.00006354258,0.000004173068,0.00003654742,0.00001233772,0.0002421099,0.9952847,0.0002810615,0.00006949491,0.003925269],"study_design_scores_gemma":[0.00002038137,0.0004264238,0.000538187,0.000008750466,0.00001281295,0.0001801057,0.00001340267,0.002701319,0.9892595,0.0001551222,0.00667426,0.000009629802],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9147152,0.01520407,0.06367277,0.0004982242,0.0003033675,0.0001972021,0.0001994266,0.0003169525,0.004892771],"genre_scores_gemma":[0.9665186,0.00367146,0.02558848,0.0001651803,0.00005594281,0.0000854705,0.0001504415,0.00003447312,0.003729924],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000472952,"threshold_uncertainty_score":0.001753747,"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."}}