{"id":"W1726176202","doi":"10.2147/ijn.s82205","title":"Preparation, characterization, and safety evaluation of poly(lactide-co-glycolide) nanoparticles for protein delivery into macrophages","year":2015,"lang":"en","type":"article","venue":"International Journal of Nanomedicine","topic":"HIV Research and Treatment","field":"Immunology and Microbiology","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; National Research Council Canada; Public Health Agency of Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Institut de Recherche Robert-Sauvé en Santé et en Sécurité du Travail; Public Health Agency; Public Health Agency of Canada","keywords":"PLGA; Flow cytometry; Nanocarriers; Confocal microscopy; Bovine serum albumin; Fluorescence microscope; In vitro; Internalization; In vivo; Chemistry; Zeta potential; Drug delivery; Biophysics; Molecular biology; Materials science; Biochemistry; Nanoparticle; Cell biology; Cell; Biology; Nanotechnology; Fluorescence","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":[0.0004941085,0.0002922392,0.0001712074,0.0002070207,0.000160374,0.0001996992,0.0001814373,0.0003295018,0.0002612777],"category_scores_gemma":[0.0003630717,0.0001470604,0.0001987513,0.0001143094,0.0002004415,0.0001715096,0.0001686164,0.0001932714,0.0002185817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002154953,"about_ca_system_score_gemma":0.0002216496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004880032,"about_ca_topic_score_gemma":0.000534365,"domain_scores_codex":[0.9998036,0.00003717894,0.00002673907,0.00004050233,0.00006769461,0.00002432469],"domain_scores_gemma":[0.9997966,0.00004202911,0.00004453432,0.00001935091,0.00008072304,0.00001682147],"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":[0.00003457763,0.00001387176,0.0001114611,0.00003032987,0.000001799483,0.000036134,0.00001998316,0.0002027882,0.9986059,0.00002330243,0.00001343457,0.0009065554],"study_design_scores_gemma":[0.00001045751,0.0002898386,0.0009047028,0.000005994568,0.000009122249,0.0001079587,0.00001773395,0.00131029,0.9962244,0.00002233067,0.00109078,0.000006390148],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9803899,0.001328786,0.01675964,0.00008046319,0.00002148022,0.0001932195,0.0001365566,0.00005635367,0.001033451],"genre_scores_gemma":[0.9800435,0.001095916,0.01654036,0.00007668657,0.00001572527,0.0003428865,0.0002046815,0.00003106472,0.001649031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004941085,"threshold_uncertainty_score":0.002613127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02828347117431069,"score_gpt":0.3507673699848977,"score_spread":0.322483898810587,"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."}}