{"id":"W2337799606","doi":"10.4236/jbnb.2016.72011","title":"Effects of Size and Surface Charge of Polymeric Nanoparticles on &amp;lt;i&amp;gt;in Vitro&amp;lt;/i&amp;gt; and &amp;lt;i&amp;gt;in Vivo&amp;lt;/i&amp;gt; Applications","year":2016,"lang":"en","type":"article","venue":"Journal of Biomaterials and Nanobiotechnology","topic":"Nanoparticle-Based Drug Delivery","field":"Materials Science","cited_by":160,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Cure Brain Cancer Foundation","keywords":"In vivo; Drug delivery; Nanotechnology; In vitro; Surface charge; Nanoparticle; Materials science; Biophysics; Chemistry; Biochemistry; Biology; Biotechnology; Physical chemistry","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":["metaepi_narrow","research_integrity"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.00330307,0.001277117,0.003047656,0.001448995,0.0003949224,0.0002595698,0.001231504,0.001432223,0.0007930698],"category_scores_gemma":[0.001490335,0.001023769,0.0003518074,0.001621724,0.002236208,0.0007923637,0.000727029,0.0003820395,0.0003249741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003025483,"about_ca_system_score_gemma":0.0002901563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000190042,"about_ca_topic_score_gemma":0.0006823924,"domain_scores_codex":[0.9906057,0.001088015,0.003645469,0.001646725,0.001094888,0.001919163],"domain_scores_gemma":[0.9920524,0.002061549,0.002967141,0.001784542,0.0004893091,0.0006450571],"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":[0.002338987,0.00123087,0.0005974603,0.0006094871,0.0001591075,0.0000236289,0.0004706575,0.00001223352,0.9901662,0.0004048242,0.0007505814,0.003235924],"study_design_scores_gemma":[0.005527914,0.0005680589,0.001396311,0.001074845,0.0003247421,0.000500228,0.00002576962,0.000003157436,0.9564937,0.0007427622,0.03229174,0.001050818],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9833623,0.00970681,0.0008472717,0.002431863,0.001064481,0.00156321,0.0007640027,0.0002274191,0.00003269635],"genre_scores_gemma":[0.9835829,0.003937127,0.01128705,0.0001852575,0.0002351873,0.0001125543,0.00002943774,0.000169941,0.0004605796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03367259,"threshold_uncertainty_score":0.9999981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00983660813349772,"score_gpt":0.2371223928662492,"score_spread":0.2272857847327515,"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."}}