{"id":"W2130939609","doi":"10.1016/j.jconrel.2012.06.020","title":"Effects of block copolymer properties on nanocarrier protection from in vivo clearance","year":2012,"lang":"en","type":"article","venue":"Journal of Controlled Release","topic":"Nanoparticle-Based Drug Delivery","field":"Materials Science","cited_by":98,"is_retracted":false,"has_abstract":false,"ca_institutions":"Celator Pharmaceuticals (Canada)","funders":"National Cancer Institute; National Institute of Biomedical Imaging and Bioengineering; University of Minnesota; National Institutes of Health; National Science Foundation","keywords":"Nanocarriers; Copolymer; In vivo; Chemistry; Nanotechnology; Materials science; Drug delivery; Polymer; Biology; Organic chemistry; Biotechnology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.000536211,0.0003476014,0.0002653277,0.0001429252,0.0001267375,0.000296247,0.0001458228,0.0002908732,0.001743567],"category_scores_gemma":[0.001088366,0.0001880983,0.0001452227,0.0001400791,0.0002617944,0.0004867414,0.0001225896,0.0003630467,0.0003383025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000256658,"about_ca_system_score_gemma":0.0002959484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005968866,"about_ca_topic_score_gemma":0.0004898434,"domain_scores_codex":[0.9997334,0.00007810308,0.00002503906,0.00005361965,0.0000381913,0.00007166307],"domain_scores_gemma":[0.999288,0.0003891253,0.0001468799,0.00004635054,0.0000604634,0.00006918169],"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":[0.002801244,0.00007515692,0.000210893,0.00004234287,0.00001111042,0.00003689529,0.00001978937,0.0002166241,0.9948751,0.00006135995,0.0000362716,0.001613132],"study_design_scores_gemma":[0.00003173874,0.000414231,0.0008233752,0.000002451814,0.00001726425,0.0000295817,0.000003401987,0.0005343084,0.9978447,0.00001116639,0.0002832436,0.000004496314],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971979,0.001093843,0.0008340469,0.00004093974,0.00002381662,0.00001777191,0.0001346975,0.00003271621,0.0006243854],"genre_scores_gemma":[0.9980758,0.0004374961,0.0006291504,0.00002866669,0.000009637231,0.00001376481,0.00009981213,0.00004351541,0.0006621403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001743567,"threshold_uncertainty_score":0.005832791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008076894475000996,"score_gpt":0.206151338905799,"score_spread":0.198074444430798,"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."}}